Literature DB >> 23993666

Computational design of protein-protein interactions.

Gideon Schreiber1, Sarel J Fleishman.   

Abstract

A long-term aim of computational design is to generate specific protein-protein interactions at desired affinity, specificity, and kinetics. The past three years have seen the first reports on atomically accurate de novo interactions. These were based on advances in design algorithms and the ability to harness high-throughput experimental characterization of design variants to optimize binding. Current state-of-the-art in computational design lacks precision, and therefore requires intensive experimental optimization to achieve parity with natural binders. Recent successes (and failures) point the way to future progress in design methodology that would enable routine and robust design of binders and inhibitors, while also shedding light on the essential features of biomolecular recognition.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23993666     DOI: 10.1016/j.sbi.2013.08.003

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  19 in total

1.  Crucial roles of single residues in binding affinity, specificity, and promiscuity in the cellulosomal cohesin-dockerin interface.

Authors:  Michal Slutzki; Dan Reshef; Yoav Barak; Rachel Haimovitz; Shahar Rotem-Bamberger; Raphael Lamed; Edward A Bayer; Ora Schueler-Furman
Journal:  J Biol Chem       Date:  2015-04-01       Impact factor: 5.157

2.  Designs on a curve.

Authors:  J Fernando Bazan; Andrey V Kajava
Journal:  Nat Struct Mol Biol       Date:  2015-02       Impact factor: 15.369

Review 3.  In silico structure-based approaches to discover protein-protein interaction-targeting drugs.

Authors:  Woong-Hee Shin; Charles W Christoffer; Daisuke Kihara
Journal:  Methods       Date:  2017-08-09       Impact factor: 3.608

4.  Metal-Directed Design of Supramolecular Protein Assemblies.

Authors:  J B Bailey; R H Subramanian; L A Churchfield; F A Tezcan
Journal:  Methods Enzymol       Date:  2016-06-24       Impact factor: 1.600

5.  Deep Mutational Scans as a Guide to Engineering High Affinity T Cell Receptor Interactions with Peptide-bound Major Histocompatibility Complex.

Authors:  Daniel T Harris; Ningyan Wang; Timothy P Riley; Scott D Anderson; Nishant K Singh; Erik Procko; Brian M Baker; David M Kranz
Journal:  J Biol Chem       Date:  2016-09-28       Impact factor: 5.157

Review 6.  Algorithms for protein design.

Authors:  Pablo Gainza; Hunter M Nisonoff; Bruce R Donald
Journal:  Curr Opin Struct Biol       Date:  2016-04-14       Impact factor: 6.809

Review 7.  Step-by-step design of proteins for small molecule interaction: A review on recent milestones.

Authors:  José M Pereira; Maria Vieira; Sérgio M Santos
Journal:  Protein Sci       Date:  2021-05-10       Impact factor: 6.993

8.  Integrating water exclusion theory into β contacts to predict binding free energy changes and binding hot spots.

Authors:  Qian Liu; Steven C H Hoi; Chee Keong Kwoh; Limsoon Wong; Jinyan Li
Journal:  BMC Bioinformatics       Date:  2014-02-26       Impact factor: 3.169

9.  Design of a basigin-mimicking inhibitor targeting the malaria invasion protein RH5.

Authors:  Shira Warszawski; Elya Dekel; Ivan Campeotto; Jennifer M Marshall; Katherine E Wright; Oliver Lyth; Orli Knop; Neta Regev-Rudzki; Matthew K Higgins; Simon J Draper; Jake Baum; Sarel J Fleishman
Journal:  Proteins       Date:  2019-08-02

10.  pmx: Automated protein structure and topology generation for alchemical perturbations.

Authors:  Vytautas Gapsys; Servaas Michielssens; Daniel Seeliger; Bert L de Groot
Journal:  J Comput Chem       Date:  2014-12-08       Impact factor: 3.376

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