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Egbert, M., et al. (2022) FTMove: A Web Server for Detection and Analysis of Cryptic and Allosteric Binding Sites by Mapping Multiple Protein Structures. Journal of Molecular Biology, 434, Article ID: 167587.
https://doi.org/10.1016/j.jmb.2022.167587

has been cited by the following article:

• TITLE: API Development Increases Access to Shared Computing Resources at Boston University

  AUTHORS: George Jones, Amanda E. Wakefield, Jeff Triplett, Kojo Idrissa, James Goebel, Dima Kozakov, Sandor Vajda

  KEYWORDS: API Framework, Open Source, High-Performance Computing, Software Architecture, Science and Engineering

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.15 No.6, June 29, 2022

  ABSTRACT: Within the last few decades, increases in computational resources have contributed enormously to the progress of science and engineering (S & E). To continue making rapid advancements, the S & E community must be able to access computing resources. One way to provide such resources is through High-Performance Computing (HPC) centers. Many academic research institutions offer their own HPC Centers but struggle to make the computing resources easily accessible and user-friendly. Here we present SHABU, a RESTful Web API framework that enables S & E communities to access resources from Boston University’s Shared Computing Center (SCC). The SHABU requirements are derived from the use cases described in this work.