Literature DB >> 32416078

Effects of Single Mutations on Protein Stability Are Gaussian Distributed.

Rostam M Razban1, Eugene I Shakhnovich2.   

Abstract

The distribution of protein stability effects is known to be well approximated by a Gaussian distribution from previous empirical fits. Starting from first-principles statistical mechanics, we more rigorously motivate this empirical observation by deriving per-residue-position protein stability effects to be Gaussian. Our derivation requires the number of amino acids to be large, which is satisfied by the standard set of 20 amino acids found in nature. No assumption is needed on the number of residues in close proximity in space, in contrast to previous applications of the central limit theorem to protein energetics. We support our derivation results with computational and experimental data on mutant protein stabilities across all types of protein residues.
Copyright © 2020 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32416078      PMCID: PMC7300273          DOI: 10.1016/j.bpj.2020.04.027

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  32 in total

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Authors:  Sergey V Venev; Konstantin B Zeldovich
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Journal:  Nature       Date:  1990-08-23       Impact factor: 49.962

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Authors:  L A Mirny; E I Shakhnovich
Journal:  J Mol Biol       Date:  1996-12-20       Impact factor: 5.469

6.  Protein stability engineering insights revealed by domain-wide comprehensive mutagenesis.

Authors:  Alex Nisthal; Connie Y Wang; Marie L Ary; Stephen L Mayo
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-01       Impact factor: 11.205

7.  Applications of Protein Thermodynamic Database for Understanding Protein Mutant Stability and Designing Stable Mutants.

Authors:  M Michael Gromiha; P Anoosha; Liang-Tsung Huang
Journal:  Methods Mol Biol       Date:  2016

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Journal:  Nature       Date:  1968-02-17       Impact factor: 49.962

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Journal:  J Mol Biol       Date:  1996-03-01       Impact factor: 5.469

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Authors:  Jian-Rong Yang; Shi-Mei Zhuang; Jianzhi Zhang
Journal:  Mol Syst Biol       Date:  2010-10-19       Impact factor: 11.429

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  1 in total

1.  Evolution of the SARS-CoV-2 proteome in three dimensions (3D) during the first 6 months of the COVID-19 pandemic.

Authors:  Joseph H Lubin; Christine Zardecki; Elliott M Dolan; Changpeng Lu; Zhuofan Shen; Shuchismita Dutta; John D Westbrook; Brian P Hudson; David S Goodsell; Jonathan K Williams; Maria Voigt; Vidur Sarma; Lingjun Xie; Thejasvi Venkatachalam; Steven Arnold; Luz Helena Alfaro Alvarado; Kevin Catalfano; Aaliyah Khan; Erika McCarthy; Sophia Staggers; Brea Tinsley; Alan Trudeau; Jitendra Singh; Lindsey Whitmore; Helen Zheng; Matthew Benedek; Jenna Currier; Mark Dresel; Ashish Duvvuru; Britney Dyszel; Emily Fingar; Elizabeth M Hennen; Michael Kirsch; Ali A Khan; Charlotte Labrie-Cleary; Stephanie Laporte; Evan Lenkeit; Kailey Martin; Marilyn Orellana; Melanie Ortiz-Alvarez de la Campa; Isaac Paredes; Baleigh Wheeler; Allison Rupert; Andrew Sam; Katherine See; Santiago Soto Zapata; Paul A Craig; Bonnie L Hall; Jennifer Jiang; Julia R Koeppe; Stephen A Mills; Michael J Pikaart; Rebecca Roberts; Yana Bromberg; J Steen Hoyer; Siobain Duffy; Jay Tischfield; Francesc X Ruiz; Eddy Arnold; Jean Baum; Jesse Sandberg; Grace Brannigan; Sagar D Khare; Stephen K Burley
Journal:  Proteins       Date:  2021-10-09
  1 in total

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