Literature DB >> 34298061

A brief history of de novo protein design: minimal, rational, and computational.

Derek N Woolfson1.   

Abstract

Protein design has come of age, but how will it mature? In the 1980s and the 1990s, the primary motivation for de novo protein design was to test our understanding of the informational aspect of the protein-folding problem; i.e., how does protein sequence determine protein structure and function? This necessitated minimal and rational design approaches whereby the placement of each residue in a design was reasoned using chemical principles and/or biochemical knowledge. At that time, though with some notable exceptions, the use of computers to aid design was not widespread. Over the past two decades, the tables have turned and computational protein design is firmly established. Here, I illustrate this progress through a timeline of de novo protein structures that have been solved to atomic resolution and deposited in the Protein Data Bank. From this, it is clear that the impact of rational and computational design has been considerable: More-complex and more-sophisticated designs are being targeted with many being resolved to atomic resolution. Furthermore, our ability to generate and manipulate synthetic proteins has advanced to a point where they are providing realistic alternatives to natural protein functions for applications both in vitro and in cells. Also, and increasingly, computational protein design is becoming accessible to non-specialists. This all begs the questions: Is there still a place for minimal and rational design approaches? And, what challenges lie ahead for the burgeoning field of de novo protein design as a whole?
Copyright © 2021. Published by Elsevier Ltd.

Keywords:  and synthetic biology; chemical biology; peptide self-assembly; protein engineering; protein folding; structural biology

Year:  2021        PMID: 34298061     DOI: 10.1016/j.jmb.2021.167160

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  8 in total

Review 1.  Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies.

Authors:  Rahmad Akbar; Habib Bashour; Puneet Rawat; Philippe A Robert; Eva Smorodina; Tudor-Stefan Cotet; Karine Flem-Karlsen; Robert Frank; Brij Bhushan Mehta; Mai Ha Vu; Talip Zengin; Jose Gutierrez-Marcos; Fridtjof Lund-Johansen; Jan Terje Andersen; Victor Greiff
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

Review 2.  Thermostability engineering of industrial enzymes through structure modification.

Authors:  Nima Ghahremani Nezhad; Raja Noor Zaliha Raja Abd Rahman; Yahaya M Normi; Siti Nurbaya Oslan; Fairolniza Mohd Shariff; Thean Chor Leow
Journal:  Appl Microbiol Biotechnol       Date:  2022-07-09       Impact factor: 5.560

3.  De novo designed peptides for cellular delivery and subcellular localisation.

Authors:  Guto G Rhys; Jessica A Cross; William M Dawson; Harry F Thompson; Sooruban Shanmugaratnam; Nigel J Savery; Mark P Dodding; Birte Höcker; Derek N Woolfson
Journal:  Nat Chem Biol       Date:  2022-07-14       Impact factor: 16.174

4.  De novo design of discrete, stable 310-helix peptide assemblies.

Authors:  Prasun Kumar; Neil G Paterson; Jonathan Clayden; Derek N Woolfson
Journal:  Nature       Date:  2022-06-22       Impact factor: 69.504

5.  Recent Advances in Machine Learning Variant Effect Prediction Tools for Protein Engineering.

Authors:  Jesse Horne; Diwakar Shukla
Journal:  Ind Eng Chem Res       Date:  2022-04-06       Impact factor: 4.326

6.  Modern and prebiotic amino acids support distinct structural profiles in proteins.

Authors:  Vyacheslav Tretyachenko; Jiří Vymětal; Tereza Neuwirthová; Jiří Vondrášek; Kosuke Fujishima; Klára Hlouchová
Journal:  Open Biol       Date:  2022-06-22       Impact factor: 7.124

Review 7.  AlphaFold 2 and NMR Spectroscopy: Partners to Understand Protein Structure, Dynamics and Function.

Authors:  Douglas V Laurents
Journal:  Front Mol Biosci       Date:  2022-05-17

8.  Socket2: A Program for Locating, Visualising, and Analysing Coiled-coil Interfaces in Protein Structures.

Authors:  Prasun Kumar; Derek N Woolfson
Journal:  Bioinformatics       Date:  2021-09-08       Impact factor: 6.937

  8 in total

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