Literature DB >> 35310078

A computational protein design protocol for optimization of the SARS-CoV-2 receptor-binding-motif affinity for human ACE2.

Savvas Polydorides1, Georgios Archontis1.   

Abstract

The present protocol describes the computational design of the SARS-CoV-2 receptor binding motif (RBD) to identify mutations that can potentially improve binding affinity for the human ACE2 (hACE2) receptor. We focus on four positions located at the interface with the hACE2 receptor in the RBD:hACE2 complex. We conduct the design with a high-throughput computational protein design (CPD) program, Proteus, incorporating an adaptive Monte Carlo (MC) protocol that promotes the selection of sequences with good binding affinities. For complete details on the use and execution of this protocol, please refer to Polydorides and Archontis (2021).
© 2022 The Author(s).

Entities:  

Keywords:  Biophysics; Protein Biochemistry; Structural Biology

Mesh:

Substances:

Year:  2022        PMID: 35310078      PMCID: PMC8890969          DOI: 10.1016/j.xpro.2022.101254

Source DB:  PubMed          Journal:  STAR Protoc        ISSN: 2666-1667


  13 in total

1.  Comparison of multiple Amber force fields and development of improved protein backbone parameters.

Authors:  Viktor Hornak; Robert Abel; Asim Okur; Bentley Strockbine; Adrian Roitberg; Carlos Simmerling
Journal:  Proteins       Date:  2006-11-15

2.  CHARMM-GUI: a web-based graphical user interface for CHARMM.

Authors:  Sunhwan Jo; Taehoon Kim; Vidyashankara G Iyer; Wonpil Im
Journal:  J Comput Chem       Date:  2008-08       Impact factor: 3.376

3.  Comparing pairwise-additive and many-body generalized Born models for acid/base calculations and protein design.

Authors:  Francesco Villa; David Mignon; Savvas Polydorides; Thomas Simonson
Journal:  J Comput Chem       Date:  2017-07-27       Impact factor: 3.376

4.  Physics-Based Computational Protein Design: An Update.

Authors:  David Mignon; Karen Druart; Eleni Michael; Vaitea Opuu; Savvas Polydorides; Francesco Villa; Thomas Gaillard; Nicolas Panel; Georgios Archontis; Thomas Simonson
Journal:  J Phys Chem A       Date:  2020-11-10       Impact factor: 2.781

5.  Scalable molecular dynamics on CPU and GPU architectures with NAMD.

Authors:  James C Phillips; David J Hardy; Julio D C Maia; John E Stone; João V Ribeiro; Rafael C Bernardi; Ronak Buch; Giacomo Fiorin; Jérôme Hénin; Wei Jiang; Ryan McGreevy; Marcelo C R Melo; Brian K Radak; Robert D Skeel; Abhishek Singharoy; Yi Wang; Benoît Roux; Aleksei Aksimentiev; Zaida Luthey-Schulten; Laxmikant V Kalé; Klaus Schulten; Christophe Chipot; Emad Tajkhorshid
Journal:  J Chem Phys       Date:  2020-07-28       Impact factor: 3.488

6.  Full Protein Sequence Redesign with an MMGBSA Energy Function.

Authors:  Thomas Gaillard; Thomas Simonson
Journal:  J Chem Theory Comput       Date:  2017-09-28       Impact factor: 6.006

7.  Simple models for nonpolar solvation: Parameterization and testing.

Authors:  Eleni Michael; Savvas Polydorides; Thomas Simonson; Georgios Archontis
Journal:  J Comput Chem       Date:  2017-08-07       Impact factor: 3.376

8.  A residue-pairwise generalized born scheme suitable for protein design calculations.

Authors:  Georgios Archontis; Thomas Simonson
Journal:  J Phys Chem B       Date:  2005-12-01       Impact factor: 2.991

9.  Computational optimization of the SARS-CoV-2 receptor-binding-motif affinity for human ACE2.

Authors:  Savvas Polydorides; Georgios Archontis
Journal:  Biophys J       Date:  2021-05-11       Impact factor: 4.033

10.  Adaptive landscape flattening allows the design of both enzyme: Substrate binding and catalytic power.

Authors:  Vaitea Opuu; Giuliano Nigro; Thomas Gaillard; Emmanuelle Schmitt; Yves Mechulam; Thomas Simonson
Journal:  PLoS Comput Biol       Date:  2020-01-09       Impact factor: 4.475

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