Prof. Amiram Goldblum

Molecular Modeling and Drug Design, Institute for Drug Discovery

University of Jerusalem, Israel

Email: [email protected]

Qualifications

Publications (selected)

1. El-Atawneh S and Goldblum A (2022) Candidate Therapeutics by Screening for Multitargeting Ligands: Combining the CB2 Receptor With CB1, PPARγ and 5-HT4 Receptors. Front. Pharmacol. 13:812745. doi: 10.3389/fphar.2022.812745
2. Stepanenko N, Wolk O, Bianchi E, Wright GJ, Schachter-Safrai N, Makedonski K, Ouro A, Ben-Meir A, Buganim Y and Goldblum A (2022) In silico Docking Analysis for Blocking JUNO‐IZUMO1 Interaction Identifies Two Small Molecules that Block in vitro Fertilization. Front. Cell Dev. Biol. 10:824629. doi: 10.3389/fcell.2022.824629
3. Shayma El-Atawneh, Shira Hirsch, Rivka Hadar, Joseph Tam, and Amiram Goldblum. Journal of Chemical Information and Modeling 2020 60 (10), 5282-5282. DOI: 10.1021/acs.jcim.0c01116
4. Da’adoosh B, Kaito K, Miyashita K, Sakaguchi M, Goldblum A (2020) Computational design of substrate selective inhibition. PLoS Comput Biol 16(3): e1007713. https://doi.org/10.1371/journal.pcbi.1007713
5. Da’adoosh, B., Marcus, D., Rayan, A. et al. Discovering highly selective and diverse PPAR-delta agonists by ligand based machine learning and structural modeling. Sci Rep 9, 1106 (2019). https://doi.org/10.1038/s41598-019-38508-8
6. Cern, A., Michael-Gayego, A., Bavli, Y., Koren, E., Goldblum, A., Moses, A., Xiong, Y. & Barenholz, Y. (2016). Nano-mupirocin: enabling the parenteral activity of mupirocin. European Journal of Nanomedicine, 8(3), 139-149. https://doi.org/10.1515/ejnm-2016-0006
7. D. Sean Froese, Amit Michaeli, Thomas J. McCorvie, Tobias Krojer, Meitav Sasi, Esther Melaev, Amiram Goldblum, Maria Zatsepin, Alexander Lossos, Rafael Álvarez, Pablo V. Escribá, Berge A. Minassian, Frank von Delft, Or Kakhlon, Wyatt W. Yue, Structural basis of glycogen branching enzyme deficiency and pharmacologic rescue by rational peptide design, Human Molecular Genetics, Volume 24, Issue 20, 15 October 2015, Pages 5667–5676, https://doi.org/10.1093/hmg/ddv280
8. Stern, N. and Goldblum, A. (2014), Iterative Stochastic Elimination for Solving Complex Combinatorial Problems in Drug Discovery. Isr. J. Chem., 54: 1338-1357. https://doi.org/10.1002/ijch.201400072
9. Cern A, Golbraikh, A, Sedykh, A, Tropsha A., Barenholz Y andGoldblum A.(2011) Quantitative Structure – Property Relationship Modeling of Remote Liposome Loading Of Drugs, J. Control.
10. Dorman, G et al. (2010). Towards accelerated anti-cancer drug discovery: integration of chemoinformatics, cell-based screening and grid computing. Medicinal Chemistry Research 19, S14-S15
11. Ursu, O, Rayan, A,Goldblum, Aand Oprea, T (2011). Understanding Drug Likeness. Wiley Interdisciplinary Reviews - Computational Molecular Science 1, 760-781
12. Noy, E andGoldblum, A. (2010) Flexible protein-protein docking based on best-First search algorithm, J. Comput. Chem. 31, 1929-1943 (cover of journal)
13. Rayan, A, Marcus, D andGoldblum, A. (2010) Predicting Oral Drug-Likeness by Iterative Stochastic Elimination, J. Chem. Inf. Model. 50, 437-445
14. Lavy, T, Harries, D andGoldblum, A(2011) Molecular properties from conformational ensembles: I. dipole moments of molecules with multiple internal rotations, J Phys Chem A, 115, 5794-5809
15. Zucker, D, Marcus, D, Barenholz, Y andGoldblum, A. (2009) Liposome Drugs’ loading efficiency: A working model based on loading conditions and drug’s physicochemical properties. J. Control. Release 139, 73-80
16. Marcus, D, Rayan, A, Barasch, D, Elias, M andGoldblum, A. (2008) Learning from failures: Discontinued Compounds as a source for knowledge in drug discovery. Abs. Pap. Amer. Chem. Soc. 236, 67-CINF
17. Marcus, D andGoldblum, A(2008) Molecular Selectivity Index for Ligand Based Drug Design, Abs. Pap. Amer. Chem. Soc. 235, 61-CINF
18. Gorelik, B andGoldblum, A(2008) High quality binding modes in docking ligands to proteins, Proteins 71, 1 1373-1386
19. Noy, E, Tabakman, T andGoldblum, A. (2007) Constructing ensembles of flexible fragments in native proteins by iterative stochastic elimination is relevant to protein-protein interfaces, Proteins 68, 702-711
20. Ittah, S., Michaeli, A.,Goldblum, A. and Gat, U. (2007) A model for the structure of the C-terminal domain of dragline spider silk and the role of its conserved cysteine. Biomacromolecules 8: 2768-73

Profile Details

https://en.pharmacyschool.huji.ac.il/AmiramGoldblum