Literature DB >> 28104854

Big-data approaches to protein structure prediction.

Johannes Söding1.   

Abstract

Year:  2017        PMID： 28104854     DOI： 10.1126/science.aal4512

Source DB:  PubMed          Journal:  Science        ISSN： 0036-8075            Impact factor:   47.728


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  6 in total

1.  Genome-wide epistasis and co-selection study using mutual information.

Authors:  Johan Pensar; Santeri Puranen; Brian Arnold; Neil MacAlasdair; Juri Kuronen; Gerry Tonkin-Hill; Maiju Pesonen; Yingying Xu; Aleksi Sipola; Leonor Sánchez-Busó; John A Lees; Claire Chewapreecha; Stephen D Bentley; Simon R Harris; Julian Parkhill; Nicholas J Croucher; Jukka Corander
Journal:  Nucleic Acids Res       Date:  2019-10-10       Impact factor: 16.971

2.  SuperDCA for genome-wide epistasis analysis.

Authors:  Santeri Puranen; Maiju Pesonen; Johan Pensar; Ying Ying Xu; John A Lees; Stephen D Bentley; Nicholas J Croucher; Jukka Corander
Journal:  Microb Genom       Date:  2018-05-29

3.  Amino acid torsion angles enable prediction of protein fold classification.

Authors:  Kun Tian; Xin Zhao; Xiaogeng Wan; Stephen S-T Yau
Journal:  Sci Rep       Date:  2020-12-10       Impact factor: 4.379

4.  De novo protein structure prediction using ultra-fast molecular dynamics simulation.

Authors:  Ngaam J Cheung; Wookyung Yu
Journal:  PLoS One       Date:  2018-11-20       Impact factor: 3.240

5.  MetaEuk-sensitive, high-throughput gene discovery, and annotation for large-scale eukaryotic metagenomics.

Authors:  Eli Levy Karin; Milot Mirdita; Johannes Söding
Journal:  Microbiome       Date:  2020-04-03       Impact factor: 14.650

Review 6.  Recent Advances in Protein Homology Detection Propelled by Inter-Residue Interaction Map Threading.

Authors:  Sutanu Bhattacharya; Rahmatullah Roche; Md Hossain Shuvo; Debswapna Bhattacharya
Journal:  Front Mol Biosci       Date:  2021-05-11
  6 in total

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