Literature DB >> 30796988

PconsFam: An Interactive Database of Structure Predictions of Pfam Families.

John Lamb1, Aleksandra I Jarmolinska2, Mirco Michel1, David Menéndez-Hurtado1, Joanna I Sulkowska2, Arne Elofsson3.   

Abstract

At present, about half of the protein domain families lack a structural representative. However, in the last decade, predicting contact maps and using these to model the tertiary structure for these protein families have become an alternative approach to gain structural insight. At present, reliable models for several hundreds of protein families have been created using this approach. To increase the use of this approach, we present PconsFam, which is an intuitive and interactive database for predicted contact maps and tertiary structure models of the entire Pfam database. By modeling all possible families, both with and without a representative structure, using the PconsFold2 pipeline, and running quality assessment estimator on the models, we predict an estimation for how confident the contact maps and structures are for each family.
Copyright © 2019. Published by Elsevier Ltd.

Keywords:  Pfam; contact maps; folding pipeline; structure prediction

Year:  2019        PMID: 30796988     DOI: 10.1016/j.jmb.2019.01.047

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


  5 in total

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2.  Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterized proteins.

Authors:  Shaun M Kandathil; Joe G Greener; Andy M Lau; David T Jones
Journal:  Proc Natl Acad Sci U S A       Date:  2022-01-25       Impact factor: 12.779

3.  Revealing the full-length transcriptome of caucasian clover rhizome development.

Authors:  Xiujie Yin; Kun Yi; Yihang Zhao; Yao Hu; Xu Li; Taotao He; Jiaxue Liu; Guowen Cui
Journal:  BMC Plant Biol       Date:  2020-09-16       Impact factor: 4.215

4.  Molecular replacement using structure predictions from databases.

Authors:  Adam J Simpkin; Jens M H Thomas; Felix Simkovic; Ronan M Keegan; Daniel J Rigden
Journal:  Acta Crystallogr D Struct Biol       Date:  2019-11-19       Impact factor: 7.652

5.  Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations.

Authors:  Wei Zheng; Chengxin Zhang; Yang Li; Robin Pearce; Eric W Bell; Yang Zhang
Journal:  Cell Rep Methods       Date:  2021-06-21
  5 in total

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