1. Introduction
In 1982, Kuntz et al. published a paper [1] entitled “A geometric approach to macromolecule-ligand interactions.” That is the beginning of docking, or molecular docking, a wide spread “computational method that virtually tries to predict a complex of (usually) two binding partners. Typically, these binding partners are biological macromolecules (e.g., protein, DNA/RNA, peptide) or small molecules (e.g., endogenous ligands, drugs).” [2].
Since then, docking has become so important that each year hundred thousands papers published on docking. Indeed, Figure 1 of [3] shows that in between the years 2000 to 2020, more than 150,000 papers on “docking” and/or “molecular recognition” topics were published.
Docking becomes more and more important in structure-based drug design. Today, there are many docking web servers available, such as HADDOCK and HDOCK for protein-protein docking; GOLD, Surflex-Dock, AutoDock, and Glide, etc., for small-molecule which “are regularly utilized in structure-based drug design to predict ligand interactions with the receptor protein.” [2].
In docking, a macromolecule (protein, DNA/RNA, peptide) is called receptor, another molecule (protein, DNA/RNA, peptide, or small molecule) is called ligand, [4]. In drug design, the ligand is usually a small molecule.
Binding is to put the receptor and ligand together to form either a new molecule (covalent binding) or just a functioning complex (non-covalent binding). Most docking web servers only deal with non-covalent binding. We will deal mainly with non-covalent binding and only briefly discuss covalent binding. It turns out that except chemistry considerations, covalent binding is actually simpler than non-covalent binding.
“Docking methods generally have two components: a scoring function and a sampling procedure. The scoring function is given a hypothetical binding pose for the compound and estimates the binding energy of the compound assuming that this pose is correct. The sampling procedure searches the space of potential poses to discover the pose that is assigned the most favorable score by the scoring function. The pose with the most favorable score is the predicted pose, and the score of this pose is the predicted binding energy.” [5].
For non-covalent binding, the “sampling procedure” for poses is bring the ligand toward to the receptor and searching different orientations of the ligand structure to fit to the receptor structure as a pose. The process of finding poses is called the molecular recognition process.
We will use single molecule conformational Gibbs free energy function (CGF) as scoring function for docking. Since CGF has analytical formulae (4) and (8), we obtain analytic docking and binding Gibbs free energy formulae analysis of them and reveals the binding pose searching strategy: the binding sites must be close enough, both geometrically and electronically complementary. See Search 3.1 for detail.
“Molecular docking enhances the efficacy of determining the metabolic interaction between two molecules, i.e., the small molecule (ligand) and the target molecule (protein), to find the best orientation of a ligand to its target molecule with minimal free energy in forming a stable complex.” [6].
Applying a single molecule molecular folding theory (see [7]-[11]) based on CGF and single molecule thermodynamic hypothesis (SMTH), we resolve all three major unresolved problems in docking posted in 2017 in [12], 1. Tackling binding site flexibility; 2. Treating solvent during docking; 3. Affinity prediction in docking.
2. Single Molecule Conformational Gibbs Free Energy Function
2.1. Conformations of Molecules
Given a molecule
consists of n atoms
, a conformation is the listed coordinates of atomic centres
.
We assume that in a conformation
, all covalent bonds are correctly formed. There are standard bond lengths
of
if
is covalently bonded and standard bond angles
of
if both
and
are covalently bonded. There are small positive constants
and
such that all eligible bond lengths are contained in the closed interval
and
, where
is the van der Waals radius of
; and all eligible bond angles are contained in the close interval
. These should be respected in any conformation of
. Thus, let
and
be the corresponding bond lengths and angles measured in
, we require that they satisfy the steric conditions (1) to (3),
(1)
(2)
(3)
2.2. The Thermodynamic System
Let
be a conformation of
. The occupied space of
is determined by an electron wave function
in quantum mechanics. It is e defined as
, where
is a small number. But so far multi-electrons Schrödinger equation is unsolvable, so that the
is not known. Therefore, we have to use some approximation to
. Figures on page 4 of [13], where the boundary
,
au, 1 au = a0 = 0.529188Å, shows that
is very similar to a bunch of overlapping balls. An atom
occupies a space similar to a ball
, centred at the atomic centre
with its van der Waals radius
, the bunch of overlapping balls
is a very close approximation to
.
A molecule always exists in some environment, most biomolecules live in cytoplasm that is essentially aquoeous solvent or water environment, denoted as
The thermodynamics system
is tailor made for a conformation
, it consists of
plus one layer of water molecules. At equilibrium,
has a Gibbs free energy
. The single molecule conformational Gibbs free energy function (CGF) is defined as
.
2.3. Formulae of
and
A moiety or atomic group in
has a hydrophobicity level, such as charged, polar, or hydrophobic, all atoms in that moiety have the same hydrophobicity level. Suppose that there are
hydrophobicity levels, let
be the set of atoms having hydrophobicity level
, thus,
.
A water molecule inside
has chemical potentials
if the nearest atom to the water molecule belongs to
. We may denote
such that
is hydrophobic and
is hydrophilic or polar. Quantum statistics derivation via grand canonic ensemble obtained the formula.
(4)
where
is the chemical potential of electron,
and
are means in equilibrium of numbers of electrons and water molecules with chemical potential
respectively, not necessary integers.
The intrinsic (
in vaccum) potential
comes from quantum mechanics, a good approximation is given as
(5)
where
and
and
are constants,
are approximate net charge of
at the nuclues of the atom
, and
if the molecule is neutral. The second term in (5) is the Lennard-Jones potential that is often used as an approximate model for the isotropic part of a total (repulsion plus attraction) van der Waals force as a function of distance.
A connected closed surfaces
are surfaces without boundary, i.e.,
. All connected closed surfaces are topologically classified into genus, from sphere (genus 0), tyre surface (genus 1), to genus 2, 3,
, to
. See [14].
By the Jordan-Brouwer Separation Theorem, see Theorem 3.44 on page 254, and Example 2.46 on page 142 of [15], any connect closed surface
divides
into three parts,
, where
is a bounded domain,
is an unbounded domain,
is the common boundary,
and
.
Let
be an interface between
and water molecules inside
. In case that
has cavities (holes large enough to be able to contain a water molecule),
has more than one connected component, say
,
,
. Each
is a connected closed surface. Let
be the largest connected component, the cavities are
,
,
. Note that even there is no water molecule in some cavity
, we still count
as a connected component. Thus,
and
. Let
be the number of water molecules inside the cavity
. Define
,
and
for any set
, then
, where
.
We have to distinguish cavity and pocket, they both mean hole in a conformation. A cavity is contained in
, any path in
to reach the cavity must cross through
. A pocket is contained in
. Some pocket may have long narrow path in
to reach the bottom of the pocket, such that on the first look, one may think it is a cavity. With a little change of conformations from
to
, a cavity inside
may become a pocket outset of
, or vice versa.
is proportional to the area
, see, for example, [16]. Therefore, there are
, such that
(6)
By an quantum mechanics argument that taking the mean via the electron charge density function
([13], p. 6), we have
(7)
Being a mean, the the constant
is universal for all conformations of
or any complexes in the size of proteins.
Let
, where
is the diameter of a water molecule and
is very small. By the definitions of
and
, we have roughly
. Substitute (6) and (7) into (4), letting
,
, we obtain, a geometric apporximation to (4),
(8)
Because native structures of globular proteins have smaller volume and surface area than other conformations, see [17] and [18],
. Since also
,
.
There are many choices for
, Van der Waals surface
; the most common in literature is the solvent accessible surface SASR, it is the loci of the centre of a sphere or water molecule diameter
rolling on
; molecular surface, or solvent excluding surface SESR, also produce by a sphere of radius
rolling on
but taking the loci of the boundary of the rolling sphere, see [19] and [20]. By [21], SESR is the best boundary surface of a molecule. We will take SESR as
in the remaining of the paper.
The derivation of (4) and (8) is progressively done in [7]-[10] via quantum statistics without consideration of cavities and
was set to be the Coulomb’s energy of positive charges
at the atomic centre
, negative charges were omitted.
3. Docking
3.1. Poses
For given receptor and ligand with structures (stable conformations), for example, a macromolecule
with
and a ligand
with
, initially
and
are separated by bulk water, i.e.,
. The task of docking is to find docking poses, i.e., find an orientation preserving congruence (combinations of parallel translations and rotations)
,
,
being the conformation (i.e., statisfying steric conditions (1) to (3)) of the would be complex
, such that
,
. That is,
of water molecules in
are removed from the thermodynamic system
.
There will be a new cavity
in
bounded by
, where
and
are the docking sites, and
. Then
and (9)
(10)
Let
be the number of one layer water molecules inside
and touching
,
the number of water molecules inside
touching
,
the number of water molecules inside
touching
.
Denote
as a pose or docking pose with the docking sites
. There will be infinitely many such poses.
3.2. Scoring Function
Because of “Ligand binding typically occurs in an aqueous solvent”, [12], we will use
(
or
) as a scoring function. Define the docking Gibbs free energy as
(11)
A pose
becomes a binding pose if and only if
.
3.3. Estimate of
Denote
. By the formula in (4) and denote
as
, etc., substituting
by
,
, and
respectively, we obtain
The total number of water molecules in
,
, and
be
Since in
,
water molecules be removed and
water molecules be added,
Let
be the number of one layer water molecules almost contacting
and
in
and
,
. Let
and
be the numbers of corresponding water molecules with chemical potential
. Then
and
, and
(12)
In terms of formula (8), (9), and (10) we have
Denote
,
,
, then
, and
,
Since
,
, and
,
and
we have
(13)
Let
be the set of atoms in
such that these atoms (almost) touching
and
be the set of atoms in
such that these atoms (almost) touching
. Let
and
be the subsets corresponding to
and
. The intrinsic potential
is
where
Thus
where
,
,
, and
, are the potential energies between
and
,
and
, and
and
respectively.
By formula (5),
is electrostatic,
(14)
(15)
(16)
(17)
In (14) to (17), the first part is electrostatic counting for phenomena such as hydrogen bonds and salt bridges,
is repulsive,
is attractive or neutral,
is the distance between
in
and and
. The second term is the van der Waals force. Since although
and
are close enough to remove water molecules between them but still large enough such that the distance
, and
in (14) to (16) are even larger. Hence all van der Waals forces in (14) to (17) are negative.
Since
are larger than distances insider a molecule, the electronic part in (14) to (17) is either negative or very small positive. Thus,
is dominated by
and the negative van der Waals forces.
Especially, if
and
are electronic complementary, i.e., positive polar part of
is nearing the negative part of
, and non-polar part nearing non-polar part. Then
in (17), therefore,
and
.
There are two kinds of electronic complementarity, 1.
and
are both hydrophobic pieces with hydrophilic islands, i.e., large pieces of hydrophobic surface with some small pieces of hydrophilic surfaces (islands) such that hydrophobic part
and on hydrophilic island part
. 2. Similarly, hydrophilic pieces with hydrophobic islands.
In case of hydrophilic to hydrophilic case, if
and
are close enough to form hydrogen bonds between
and
(that is, the electronically complementary is strict, we cannot afford to loss even one hydrogen bond opportunity), the reduced energy is more than enough to compensate the increased energy of removing double number of intermolecular hydrogen bonds between
(
) and water molecules. That is, the sum of the first, second, fourth line in (12) and (13) will be negative.
Summary 1: In case of f hydrophilic to hydrophilic, we claim that if the sum of the second and third lines of (12) and (13) are negative or zero,
. In fact, hydrogen bond and salt bridge are essentially electrostatic, therefore following the Coulomb’s law
as in (14) to (17), where
is dielectric constant. An intermolecular hydrogen bond (macromolecule with water) happens at the macromolecule surface where the dielectric constant is roughly
, while inside a macromolecule (or inside
) the dielectric is about 3, see, for example ([22], p. 72) and [23]. Thus the sum of first and fourth lines in (12) and (13) is negative. If the sum of the second and third lines of (12) and (13) is also negative or zero,
.
Summary 2: if the docking sites
and
are close enough and electronically complementary, the first line in (12) and (13) will be negative. In case the electronically complementary is hydrophilic pieces with hydrophobic islands, if the sum of the second and third lines of (12) and (13) are negative or zero,
.
The second line in (12) is negative if
, the best case is that
, i.e., the area
is so small such that almost no water molecules contacting to
. The larger
, the more negative the second line.
The second line in (13), being the contribution from electron chemical potential
, should be negative like in (12). But since
in (8) is only an approximation to
in (4), the second line in (13) is positive. To make it as small as possible: First,
and
should be as small as possible, consists with the best case in (12):
.
very small implies that: 1) the number of water molecules in
should be very small, even zero. Then
,
,
,
are all
; 2) the geometry of
and
should be complementary and close to each other, i.e., if a part of
is convex, the corresponding part in
should be concave, and vice versa.
Summary 3: to make the sum of the first and second lines in (12) and (13) negative as much as possible, the best scenario is
as large as possible,
. Since
,
,
are all
, the sum of the second and third lines in (12) and (13) is always negative, the fourth line in (12) and (13) is always positive or zero. Because of Summary 1,
.
3.4. Searching Strategy for Binding Poses
Thus the sure searching strategy for binding poses is
Search 3.1 (Binding Pose Searching Strategy) To make
, make sure that
and
are so close to each other and geometrically complementary such that
and
, be able to form hydrogen bonds or salt bridges between
and
.
and
also need be electronically complementary: either
and
are both hydrophobic pieces with hydrophilic islands or both hydrophilic pieces with hydrophobic islands and make sure not even one hydrogen bond or salt bridge opportunity in
is lost.
Remark 3.1. It may happen that a few cavity water molecules in
but still
. Thus do not rule out new cavity water molecules without weighing pros and cons.
According to ([24], p. 138), for small molecule or an ion ligands, many proteins’ docking site are dry cavities on its surfaces, but a ligand still has to remove water molecules to approach these macromolecules.
If the ligand is another macromolecule, then there are three kinds of binding sites: 1) Surface to string, an trough on the receptor’s surface meeting an extended loop of a polypeptide chain of the ligand; 2) two
helices (one each from the macromolecules) paired together to form a coiled coil; 3) the most common type of docking sites are surface to surface. The three kinds of docking sites are typical complimentary in geometry.
For macromolecule-small molecule docking,
usually is the surface of a pocket (or even a cavity such that a slight change of conformation may change the cavity to pocket),
may be the whole
or a subsurface of it, fitting into the pocket of
.
The binding pose searching strategy Search 3.1 can be applied to these cases by finding geometrically and electronically complementary
and
.
4. Comparing with Observations and Practical Docking Results
The binding pose searching strategy Search 3.1 is obtained theoretically by estimating (12) and (13) line by line. For example, geometrically complementary comes from estimating line 2 of (13),
. To make it as small as possible, the necessary condition is that the area
and the volume
are as small as possible.
could be a long band, so
small means the band is very narrow. Since
occupies the space between the binding sites
and
,
small means: 1)
and
are spacially close to each other; 2) they are geometrically complementary, i.e., at a place
is convex, the correponding place of
has to be concave, and vice versa, they fit together seamlessly.
These theoretical predictions are confirmed by observations and practical docking results.
A 1999 paper entitled “Examination of shape complementarity in docking of unbound proteins.” [25], checked many set of complexes and protein pairs that will bind to become complexes, these cases show that “These findings argue that simplicity in the docking process, utilizing geometrical shape criteria may capture many of the essential features in protein-protein docking. In particular, they further reinforce the long held notion of the importance of molecular surface shape complementarity in the binding, and hence in docking.”.
In docking practices, the strategy of
and
are geometrically and elecronically complementary in case of both are hydrophobic pieces with hydrophilic islands works. In [26], entitled “Hydrophobic docking: a proposed enhancement to molecular recognition techniques”, it was found that “In view of the higher occurrence of hydrophobic groups at contact sites, their contribution results in more intermolecular atom-atom contacts per unit area for correct matches than for false positive fits. The hydrophobic groups are also potentially less flexible at the surface. Thus, from a practical point of view, a partial representation of the molecules based on hydrophobic groups should improve the quality of the results in finding molecular recognition sites, as compared to full representation. We tested this proposal by applying the idea to an existing geometric fit procedure and compared the results obtained with full vs. hydrophobic representations of molecules in known molecular complexes. The hydrophobic docking yielded distinctly higher signal-to-noise ratio so that the correct match is discriminated better from false positive fits.”
Another example is [27], entitled “A hydrophobic-Ineraction-based mechanism trigger docking between the SARS-CpV-2 Spike and Angiotensin-Converting enzyme 2” shows that when
and
are hydrophobic pieces with hydrophilic islands and both geometrically and electronically complementary, the larger the areas
and
, the larger the binding affinity, meaning that the docking Gibbs free energy
is more negative. See §5.3 a single molecule definition of binding affinity that implies the ensemble defined binding affinity.
Of the hydrophilic pieces with hydrophobic islands type of both geometrically and electronically complementary binding sites in nature, [28] entitled “Hydrogen bonding and molecular surface shape complementary as a basis for protein docking” states that “A geometric docking algorithm based upon correlation analysis for quantification of geometric complementarity between protein molecular surfaces in close interfacial contact has been developed by a detailed optimization of the conformational search of the algorithm. .......The utility of the spatial and directional properties of hydrogen bonding donor and acceptor sites for the identification of candidate docking conformations is demonstrated by the reliable preliminary reduction of conformation space, the improved geometric ranking of the minimum RMS conformations of some complexes and the overall reduction of CPU time obtained.”
It is described in [29] entitled “The role of DNA shape in protein-DNA recognition” made observations “The recognition of specific DNA sequences by proteins is thought to depend on two types of mechanism: one that involves the formation of hydrogen bonds with specific bases, primarily in the major groove, and one involving sequence-dependent deformations of the DNA helix. By comprehensively analysing the three-dimensional structures of protein-DNA complexes, here we show that the binding of arginine residues to narrow minor grooves is a widely used mode for protein-DNA recognition. This readout mechanism exploits the phenomenon that narrow minor grooves strongly enhance the negative electrostatic potential of the DNA. The nucleosome core particle offers a prominent example of this effect. Minor-groove narrowing is often associated with the presence of A-tracts, AT-rich sequences that exclude the flexible TpA step. These findings indicate that the ability to detect local variations in DNA shape and electrostatic potential is a general mechanism that enables proteins to use information in the minor groove, which otherwise offers few opportunities for the formation of base-specific hydrogen bonds, to achieve DNA-binding specificity.”
That is,
in DNA surface and
in protein surface are geometrically and electronically complementary,
and
form salt bridges in narrow minor groove. In major groove it “involves the formation of hydrogen bonds”. The “deformation of the DNA helix” is due to post-binding reshaping, see §5.1
5. Resolving so Far Unresolved Problems in Docking and Binding
In 2017, [12] posted three major unsolved problems, 1) Tackling Binding Site Flexibility; 2) Treating Solvent During Docking; 3) Affinity Prediction In Docking. Another unresolved problem in docking is covalent docking and binding. We will resolve them one by one in this section.
5.1. Tackling Binding Site Flexibility
“The majority of protein binding sites have some degree of flexibility, either by the motions of specific side chains or possibly by larger motions of protein backbones. Often motions are induced, or selected, by the binding of a given ligand, the well-known principle of induced fit.” [12].
Suppose
contains atoms
,
, and
constains atoms
,
. Define
and
. If the flexibility means conformational changing of
and
, especially on
and
, post-folding answers this problem.
CGF together with single molecule thermodynamic hypothesis (SMTH) is the basis of a single molecule theory of protein (or more generally, molecular) folding, ([7]-[11]). SMTH says that all stable conformations (structures) must be the local or global minimizer conformations of
or
. An equivalent statement of SMTH is that if
is not stable, then there will be a molecular folding of
, starting from
, resulting in a stable conformation
. In particular
, [11].
Since
,
can bind at the pose
. Mathematically the probability of the conformation
to be stable is almost zero, by SMTH, folding will happen and will result in a stable conformation
such that
and
. Because
and
, these difference are called post-binding reshaping (after binding conformational change in [11]).
In particular,
and
correspondingly.
What need do is to develop software to really calculate the flexibility.
In fact, the mechanism of allostery is just post-binding reshaping, see [11].
5.2. Treating Solvent during Docking
“An additional degree of complexity in docking is presented by the presence or absence of water molecules in the binding site. The importance of accounting for water when docking has been recognized by many groups. For example, in a recent study, the inclusion of water molecules was shown to be able to recover 56% of observed docking failures. In another study, the authors note that it is important to include only key waters. Not all water molecules are beneficial to docking; some indeed can have an adverse effect on docking performance.” [12]
CGF specifically considers one layer of environment element in the thermodynamic system
, in application we do not need consider bulk water molecules. In particular, CGF avoids the heavy computation of explicit water molecules.
5.3. Affinity Prediction in Docking
“Affinity prediction remains a largely unsolved problem in computational chemistry. The reasons for this are rooted in the theory of statistical physics, which describes the energetics of binding.” [12].
Statistical physics has nothing wrong, the problem is the way to apply statistical physics. For example, statistical mechanics is not for directly calculating time to time developing of a thermodynamic system until it reaches equilibrium. The way to use statistical mechanics is to theoretically derive useful formulae for physical quantities of thermodynamic system at equilibrium such as free energy, etc..
Using CGF as scoring function, we will derive the single molecule binding affinities for non-covalent binding as follows.
By SMTH in §5.1, from the binding pose
, folding will produce post binding reshaping
, such that the binding Gibbs free energy is
Then the binding affinity
of binding at the binding pose
is defined as
(18)
where
is the Boltzmann constant and
is temperature. Since folding is spontaneous, the non-covalent binding not only does not need energy input, it contributes energy
to the environment.
Note that it is always
as long as
.
If
, we may say its binding affinity is less than 1, equivalent to say that stable complex cannot be formed from the pose
.
Also note that if
, it is not necessary that
because post-binding reshapings are involved.
Larger binding affinity means stronger binding. In reality, it is not the bigger binding affinity the better, because macromolecules functions need flexibility of working complexes, just enough binding affinity will work and is easier to break the complex down when needed.
In ensemble experiments, binding affinity is defined by equilibrium constant
via concentrations of protein (P) and ligand (X),
then the binding free energy
is defined in ([30], p. 95 and 105) as,
where
is the universal gas constant. It is roughly the single molecule
times the Avogadro constant
. Therefore, the ensemble binding affinity can be expressed as ([24], p. 62), it is also called equilibrium constant
,
is usually obtained by experiments. If we replace
by
as the Gibbs free energy difference per mol, then by
, single molecule affinity
is exactly the ensemble affinity
.
The difference is, ensemble binding affinity can only be obtained from experiments, single molecule binding affinity can be calculated via CGF formulae (4) and (8).
5.4. Covalent Docking and Binding
Another problem is covalent binding. “We note that there are yet more areas where docking could have impact but where the solutions offered as yet are somewhat limited. Some software features the ability to perform covalent docking, for example, but the methods used could be significantly enhanced. Further, we are currently unaware of solutions that try to tackle significant conformational change on covalent binding to the protein in a structure agnostic way.” [12].
Let
and
be the receptor and ligand with stable conformations
and
respectively. In case of covalent binding, in both
and
some covalent bonds will be broken and a new covalent bond will be formed between
and
, therefore, the number of atoms of the new molecule will be not be
, say it is
,
,
, i.e., some atoms are removed due to bonds breaking. Relabelling if necessary, suppose that
were removed in
and
were removed in
, denote
and
. Relabelling if necessary, the new covalent bond is between
in
and
.
Bring
to
such that the distance between
in
and
in
is the standard bond length
, i.e., find an orientation preserving congruence
such that
is a conformation, i.e., satisfying steric conditions (1) to (3), and
. Call such
eligible.
Relabelling
as
in
, the new molecule
will have atoms
.
For every eligible
, let
,
the rotation around
of angle
. Let
such that
is still a conformation, i.e., satisfying steric conditions (1) to (3). All docking poses will be conformations
for all eligible
s.
By SMTH in §5.1, folding will push
to a minimizer conformation
of
such that
. Define
. This post-binding reshaping
tackles “significant conformational change on covalent binding to the protein in a structure agnostic way.” Although there are multiple minimizier conformations for the new molecule
,
is the native structure of the new molecule
in the environment
, regardless which binding pose is chosen to start the folding. On the other hand, non-covalent binding may result in different conformations
of the complex
for different binding poses.
The binding affinity is defined by
(19)
While the non-covalent binding is spontaneous, not only does not need energy input, but also release energy
to the environment. The covalent binding may release energy, or need energy input, depending on the amounts of energies released by breaking old covalent bonds and energy input for the new covalent bond, and the
above.
6. Ensemble of Ligands
We consider non-covalent binding affinity in ensembles of receptors and ligands. Covalent binding can be similarly treated, but because of energy changes are complicatedly involved with chemical reactions, binding affinity is not that important as in non-covalent case.
6.1. Boltzmann Distribution
Let
be a thermodynamic system surrounded by heat bath of constant temperature and pressure. Suppose that all microscopic states of
may have energies
,
. Suppose that
, the probability
of a microstate has energy
is
(20)
The
is called the Boltzmann distribution,
is the partition function. The rigorous proof of Boltzmann distribution is non-trivial, see ([31], pp. 200-207).
6.2. Probability of Binding in an Ensemble of Ligands
Suppose there are M ligands and one receptor in a region
. Let
be the receptor with Gibbs free energy
, each ligand
in the ensemble has Gibbs free energy
. Let
as in §5.3. Divide
into lattices of N equal boxes,
, the receptor occupies one of the box. Suppose that the binding happens purely by chance, then there are
ways (microstates) that one of the ligand binds
, each of them with Gibbs free energy
; and
ways that no binding happens, each of them with Gibbs free energy
. By Boltzmann distribution (20), the partition function is
Denote
. Because that
the probability of binding happens is
(21)
Adjusting
such that
, i.e., the two items in the denomenator of (21) is roughly equal. Equality of these two terms roughly amounts to
. the statement that the entropy lost in stealing one of the ligands from solution to bind it to the receptor is just made up for by the energetic gain (
) associated with binding the ligand to the receptor. Thus, whenever we consider ensemble of solute in solvent, mixed entropy appears.
Let
be the volume of a lattice box, the concentration of ligand is
. Assume the ground concentration is
, then
, denote
, we get that
(22)
Thus, the probabilty
is a function of the ligand concentration
. As described in ([32], p. 244), “This classic result goes under many different names depending upon the field (such as the Langmuir adsorption isotherm or a Hill function with Hill coefficient n = 1).”.
6.3. Entropy of Mixing
is the entropy of mixing coming from arrangements of the
ligand in the solvent. Such that the chemical potential of the ligand is
(23)
Remember that
. If there are
receptors and
ligands, then the probability of each receptor binds with a ligand is given by
in (22). Let
(24)
represent the binding and
,
,
be the chemical potentials of receptor, ligand, and bound complex
.
6.4. Ensemble of Receptors and Ligands
In the ensemble of constant temperature and pressure, in any time the Gibbs free energy of the system
is given by
and
(25)
see, for example, [31]. In equilibrium,
, since
and
are constants, we have that
In the beginning,
, whenever one receptor and one ligand bind,
and
are reduced by one, and
is increased by one, thus
is not a constant, stoichiometric reasoning shows that for
,
let
, we have
therefore,
therefore
and writing the concentration
as
, etc.,
(26)
,
and
are usually set as 1 M. In equilibrium ensemble theory of binding,
is the equilibrium constant,
is the so-called disassociation constant of the binding (24), ([32], p. 269). These quantities can be obtained only by experiments, no ensemble theory of binding to calculate it. Because
by (18) we have
(27)
By (26), (27), and (18), we have
(28)
Equation (28) shows in ensemble case that the binding affinity is proportional to the equilibrium constant
and inverse proportional to disassociation constant
. In equilibrium ensembele setting, the equilibrium constant
and the binding affinity have to be obtained through different experiments separately, see ([32], chapter 6).
7. Conclusions
As said before, protein functioning depends on docking and binding, ([30], chapter 4). If there is no docking, there will be no binding. If there is no binding, there will be no protein function. Therefor, studying of docking and binding is indispensable in biological science.
Using CGF as scoring function enables an analytic docking Gibbs free energy formulae (12) and (13), analysis them line by line reveals the binding searching strategy Search 3.1.
The single molecule thermodynamic hypothesis (SMTH) shows the mechanism of non-covalent docking and binding is just molecular folding.
The CGF is rigorously derived via quantum statistics, making the single molecule binding affinity calculable, unlike the ensemble binding affinity that can only be obtained by experiments.
Together with the resolution of the three so far unresolved problems in docking posted in [12], (1. Tackling binding site flexibility; 2. Treating solvent during docking; 3. Affinity prediction in docking. and tackles “significant conformational change on covalent binding to the protein in a structure agnostic way.”) these results demonstrate the power of the single molecule theory of molecular folding based on CGF and SMTH.