Literature DB >> 23558036

An accurate binding interaction model in de novo computational protein design of interactions: if you build it, they will bind.

Nir London1, Xavier Ambroggio2.   

Abstract

Computational protein design efforts aim to create novel proteins and functions in an automated manner and, in the process, these efforts shed light on the factors shaping natural proteins. The focus of these efforts has progressed from the interior of proteins to their surface and the design of functions, such as binding or catalysis. Here we examine progress in the development of robust methods for the computational design of non-natural interactions between proteins and molecular targets such as other proteins or small molecules. This problem is referred to as the de novo computational design of interactions. Recent successful efforts in de novo enzyme design and the de novo design of protein-protein interactions open a path towards solving this problem. We examine the common themes in these efforts, and review recent studies aimed at understanding the nature of successes and failures in the de novo computational design of interactions. While several approaches culminated in success, the use of a well-defined structural model for a specific binding interaction in particular has emerged as a key strategy for a successful design, and is therefore reviewed with special consideration.
Copyright © 2013 Elsevier Inc. All rights reserved.

Keywords:  Binding interaction model; Computational design; De novo design; Enzyme design; Protein–protein interaction design; ROSETTA

Mesh:

Substances:

Year:  2013        PMID: 23558036     DOI: 10.1016/j.jsb.2013.03.012

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  5 in total

Review 1.  The coming of age of de novo protein design.

Authors:  Po-Ssu Huang; Scott E Boyken; David Baker
Journal:  Nature       Date:  2016-09-15       Impact factor: 49.962

Review 2.  Using anchoring motifs for the computational design of protein-protein interactions.

Authors:  Timothy M Jacobs; Brian Kuhlman
Journal:  Biochem Soc Trans       Date:  2013-10       Impact factor: 5.407

3.  Application of Enhanced Sampling Monte Carlo Methods for High-Resolution Protein-Protein Docking in Rosetta.

Authors:  Zhe Zhang; Christina E M Schindler; Oliver F Lange; Martin Zacharias
Journal:  PLoS One       Date:  2015-06-08       Impact factor: 3.240

4.  A set of computationally designed orthogonal antiparallel homodimers that expands the synthetic coiled-coil toolkit.

Authors:  Christopher Negron; Amy E Keating
Journal:  J Am Chem Soc       Date:  2014-11-13       Impact factor: 15.419

5.  Enhancing the promiscuity of a member of the Caspase protease family by rational design.

Authors:  Christoph Öhlknecht; Drazen Petrov; Petra Engele; Christina Kröß; Bernhard Sprenger; Andreas Fischer; Nico Lingg; Rainer Schneider; Chris Oostenbrink
Journal:  Proteins       Date:  2020-06-11
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.