Literature DB >> 30496382

On the biases in predictions of protein stability changes upon variations: the INPS test case.

Ludovica Montanucci1, Castrense Savojardo2, Pier Luigi Martelli2, Rita Casadio2, Piero Fariselli3.   

Abstract

Year:  2019        PMID： 30496382     DOI： 10.1093/bioinformatics/bty979

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


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  9 in total

1.  Turning Failures into Applications: The Problem of Protein ΔΔG Prediction.

Authors:  Rita Casadio; Castrense Savojardo; Piero Fariselli; Emidio Capriotti; Pier Luigi Martelli
Journal:  Methods Mol Biol       Date:  2022

2.  Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset.

Authors:  Corrado Pancotti; Silvia Benevenuta; Giovanni Birolo; Virginia Alberini; Valeria Repetto; Tiziana Sanavia; Emidio Capriotti; Piero Fariselli
Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

3.  DDGun: an untrained predictor of protein stability changes upon amino acid variants.

Authors:  Ludovica Montanucci; Emidio Capriotti; Giovanni Birolo; Silvia Benevenuta; Corrado Pancotti; Dennis Lal; Piero Fariselli
Journal:  Nucleic Acids Res       Date:  2022-05-07       Impact factor: 19.160

4.  MutaBind2: Predicting the Impacts of Single and Multiple Mutations on Protein-Protein Interactions.

Authors:  Ning Zhang; Yuting Chen; Haoyu Lu; Feiyang Zhao; Roberto Vera Alvarez; Alexander Goncearenco; Anna R Panchenko; Minghui Li
Journal:  iScience       Date:  2020-02-27

5.  SAAFEC-SEQ: A Sequence-Based Method for Predicting the Effect of Single Point Mutations on Protein Thermodynamic Stability.

Authors:  Gen Li; Shailesh Kumar Panday; Emil Alexov
Journal:  Int J Mol Sci       Date:  2021-01-09       Impact factor: 5.923

6.  Predicting changes in protein thermodynamic stability upon point mutation with deep 3D convolutional neural networks.

Authors:  Bian Li; Yucheng T Yang; John A Capra; Mark B Gerstein
Journal:  PLoS Comput Biol       Date:  2020-11-30       Impact factor: 4.475

7.  A base measure of precision for protein stability predictors: structural sensitivity.

Authors:  Octav Caldararu; Tom L Blundell; Kasper P Kepp
Journal:  BMC Bioinformatics       Date:  2021-02-25       Impact factor: 3.169

8.  Identification of pathogenic missense mutations using protein stability predictors.

Authors:  Lukas Gerasimavicius; Xin Liu; Joseph A Marsh
Journal:  Sci Rep       Date:  2020-09-21       Impact factor: 4.379

Review 9.  Reviewing Challenges of Predicting Protein Melting Temperature Change Upon Mutation Through the Full Analysis of a Highly Detailed Dataset with High-Resolution Structures.

Authors:  Benjamin B V Louis; Luciano A Abriata
Journal:  Mol Biotechnol       Date:  2021-06-08       Impact factor: 2.695
  9 in total

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