Literature DB >> 28498885

PROXiMATE: a database of mutant protein-protein complex thermodynamics and kinetics.

Sherlyn Jemimah1, K Yugandhar1, M Michael Gromiha1.   

Abstract

SUMMARY: We have developed PROXiMATE, a database of thermodynamic data for more than 6000 missense mutations in 174 heterodimeric protein-protein complexes, supplemented with interaction network data from STRING database, solvent accessibility, sequence, structural and functional information, experimental conditions and literature information. Additional features include complex structure visualization, search and display options, download options and a provision for users to upload their data.
AVAILABILITY AND IMPLEMENTATION: The database is freely available at http://www.iitm.ac.in/bioinfo/PROXiMATE/ . The website is implemented in Python, and supports recent versions of major browsers such as IE10, Firefox, Chrome and Opera. CONTACT: gromiha@iitm.ac.in. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

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Year:  2017        PMID: 28498885     DOI: 10.1093/bioinformatics/btx312

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


  13 in total

1.  mCSM-PPI2: predicting the effects of mutations on protein-protein interactions.

Authors:  Carlos H M Rodrigues; Yoochan Myung; Douglas E V Pires; David B Ascher
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

2.  mmCSM-AB: guiding rational antibody engineering through multiple point mutations.

Authors:  Yoochan Myung; Douglas E V Pires; David B Ascher
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

Review 3.  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 4.  Implications of disease-related mutations at protein-protein interfaces.

Authors:  Dapeng Xiong; Dongjin Lee; Le Li; Qiuye Zhao; Haiyuan Yu
Journal:  Curr Opin Struct Biol       Date:  2021-12-24       Impact factor: 6.809

5.  AntiTbPdb: a knowledgebase of anti-tubercular peptides.

Authors:  Salman Sadullah Usmani; Rajesh Kumar; Vinod Kumar; Sandeep Singh; Gajendra P S Raghava
Journal:  Database (Oxford)       Date:  2018-01-01       Impact factor: 3.451

6.  ProtaBank: A repository for protein design and engineering data.

Authors:  Connie Y Wang; Paul M Chang; Marie L Ary; Benjamin D Allen; Roberto A Chica; Stephen L Mayo; Barry D Olafson
Journal:  Protein Sci       Date:  2018-04-30       Impact factor: 6.725

Review 7.  Systems Bioinformatics: increasing precision of computational diagnostics and therapeutics through network-based approaches.

Authors:  Anastasis Oulas; George Minadakis; Margarita Zachariou; Kleitos Sokratous; Marilena M Bourdakou; George M Spyrou
Journal:  Brief Bioinform       Date:  2019-05-21       Impact factor: 11.622

8.  SKEMPI 2.0: an updated benchmark of changes in protein-protein binding energy, kinetics and thermodynamics upon mutation.

Authors:  Justina Jankauskaite; Brian Jiménez-García; Justas Dapkunas; Juan Fernández-Recio; Iain H Moal
Journal:  Bioinformatics       Date:  2019-02-01       Impact factor: 6.937

9.  SAAMBE-SEQ: a sequence-based method for predicting mutation effect on protein-protein binding affinity.

Authors:  Gen Li; Swagata Pahari; Adithya Krishna Murthy; Siqi Liang; Robert Fragoza; Haiyuan Yu; Emil Alexov
Journal:  Bioinformatics       Date:  2021-05-17       Impact factor: 6.937

10.  A topology-based network tree for the prediction of protein-protein binding affinity changes following mutation.

Authors:  Menglun Wang; Zixuan Cang; Guo-Wei Wei
Journal:  Nat Mach Intell       Date:  2020-02-14
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