Literature DB >> 21976375

PROTS: a fragment based protein thermo-stability potential.

Yunqi Li1, Jian Zhang, David Tai, C Russell Middaugh, Yang Zhang, Jianwen Fang.   

Abstract

Designing proteins with enhanced thermo-stability has been a main focus of protein engineering because of its theoretical and practical significance. Despite extensive studies in the past years, a general strategy for stabilizing proteins still remains elusive. Thus effective and robust computational algorithms for designing thermo-stable proteins are in critical demand. Here we report PROTS, a sequential and structural four-residue fragment based protein thermo-stability potential. PROTS is derived from a nonredundant representative collection of thousands of thermophilic and mesophilic protein structures and a large set of point mutations with experimentally determined changes of melting temperatures. To the best of our knowledge, PROTS is the first protein stability predictor based on integrated analysis and mining of these two types of data. Besides conventional cross validation and blind testing, we introduce hypothetical reverse mutations as a means of testing the robustness of protein thermo-stability predictors. In all tests, PROTS demonstrates the ability to reliably predict mutation induced thermo-stability changes as well as classify thermophilic and mesophilic proteins. In addition, this white-box predictor allows easy interpretation of the factors that influence mutation induced protein stability changes at the residue level.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 21976375      PMCID: PMC3407552          DOI: 10.1002/prot.23163

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  63 in total

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Review 4.  Protein drug stability: a formulation challenge.

Authors:  Sven Frokjaer; Daniel E Otzen
Journal:  Nat Rev Drug Discov       Date:  2005-04       Impact factor: 84.694

5.  Computational thermostabilization of an enzyme.

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Journal:  Science       Date:  2005-05-06       Impact factor: 47.728

6.  Physics and evolution of thermophilic adaptation.

Authors:  Igor N Berezovsky; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-24       Impact factor: 11.205

7.  Prediction of protein stability changes for single-site mutations using support vector machines.

Authors:  Jianlin Cheng; Arlo Randall; Pierre Baldi
Journal:  Proteins       Date:  2006-03-01

Review 8.  Lessons in stability from thermophilic proteins.

Authors:  Abbas Razvi; J Martin Scholtz
Journal:  Protein Sci       Date:  2006-07       Impact factor: 6.725

9.  I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure.

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Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

10.  The Pfam protein families database.

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Journal:  Nucleic Acids Res       Date:  2007-11-26       Impact factor: 16.971

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  12 in total

1.  A critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation.

Authors:  Jianwen Fang
Journal:  Brief Bioinform       Date:  2020-07-15       Impact factor: 11.622

2.  Effect of single-point mutations on the stability and immunogenicity of a recombinant ricin A chain subunit vaccine antigen.

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3.  Prediction of impacts of mutations on protein structure and interactions: SDM, a statistical approach, and mCSM, using machine learning.

Authors:  Arun Prasad Pandurangan; Tom L Blundell
Journal:  Protein Sci       Date:  2019-11-25       Impact factor: 6.725

4.  Novel Ricin Subunit Antigens With Enhanced Capacity to Elicit Toxin-Neutralizing Antibody Responses in Mice.

Authors:  Newton Wahome; Erin Sully; Christopher Singer; Justin C Thomas; Lei Hu; Sangeeta B Joshi; David B Volkin; Jianwen Fang; John Karanicolas; Donald J Jacobs; Nicholas J Mantis; C Russell Middaugh
Journal:  J Pharm Sci       Date:  2016-03-15       Impact factor: 3.534

5.  SDM: a server for predicting effects of mutations on protein stability.

Authors:  Arun Prasad Pandurangan; Bernardo Ochoa-Montaño; David B Ascher; Tom L Blundell
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

6.  Assessing predictors of changes in protein stability upon mutation using self-consistency.

Authors:  Grant Thiltgen; Richard A Goldstein
Journal:  PLoS One       Date:  2012-10-29       Impact factor: 3.240

7.  PROTS-RF: a robust model for predicting mutation-induced protein stability changes.

Authors:  Yunqi Li; Jianwen Fang
Journal:  PLoS One       Date:  2012-10-15       Impact factor: 3.240

8.  Structure Based Thermostability Prediction Models for Protein Single Point Mutations with Machine Learning Tools.

Authors:  Lei Jia; Ramya Yarlagadda; Charles C Reed
Journal:  PLoS One       Date:  2015-09-11       Impact factor: 3.240

9.  Sequence-Based Analysis of Thermal Adaptation and Protein Energy Landscapes in an Invasive Blue Mussel (Mytilus galloprovincialis).

Authors:  Norah P Saarman; Kord M Kober; W Brian Simison; Grant H Pogson
Journal:  Genome Biol Evol       Date:  2017-10-01       Impact factor: 3.416

10.  RankProt: A multi criteria-ranking platform to attain protein thermostabilizing mutations and its in vitro applications - Attribute based prediction method on the principles of Analytical Hierarchical Process.

Authors:  Debamitra Chakravorty; Sanjukta Patra
Journal:  PLoS One       Date:  2018-10-04       Impact factor: 3.240

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