Literature DB >> 34426694

Protein-structure prediction revolutionized.

Mohammed AlQuraishi.   

Abstract

Entities:  

Keywords:  Computational biology and bioinformatics; Computer science; Machine learning; Structural biology

Mesh：

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Year:  2021        PMID： 34426694     DOI： 10.1038/d41586-021-02265-4

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   49.962


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  6 in total

1.  The Protein Data Bank: a computer-based archival file for macromolecular structures.

Authors:  F C Bernstein; T F Koetzle; G J Williams; E F Meyer; M D Brice; J R Rodgers; O Kennard; T Shimanouchi; M Tasumi
Journal:  J Mol Biol       Date:  1977-05-25       Impact factor: 5.469

2.  Improved protein structure prediction using potentials from deep learning.

Authors:  Andrew W Senior; Richard Evans; John Jumper; James Kirkpatrick; Laurent Sifre; Tim Green; Chongli Qin; Augustin Žídek; Alexander W R Nelson; Alex Bridgland; Hugo Penedones; Stig Petersen; Karen Simonyan; Steve Crossan; Pushmeet Kohli; David T Jones; David Silver; Koray Kavukcuoglu; Demis Hassabis
Journal:  Nature       Date:  2020-01-15       Impact factor: 49.962

Review 3.  Advances in protein structure prediction and design.

Authors:  Brian Kuhlman; Philip Bradley
Journal:  Nat Rev Mol Cell Biol       Date:  2019-08-15       Impact factor: 94.444

Review 4.  Machine learning in protein structure prediction.

Authors:  Mohammed AlQuraishi
Journal:  Curr Opin Chem Biol       Date:  2021-05-18       Impact factor: 8.822

Review 5.  Protein sequence design with deep generative models.

Authors:  Zachary Wu; Kadina E Johnston; Frances H Arnold; Kevin K Yang
Journal:  Curr Opin Chem Biol       Date:  2021-05-26       Impact factor: 8.822

6.  Trajectory-based training enables protein simulations with accurate folding and Boltzmann ensembles in cpu-hours.

Authors:  John M Jumper; Nabil F Faruk; Karl F Freed; Tobin R Sosnick
Journal:  PLoS Comput Biol       Date:  2018-12-27       Impact factor: 4.475
  6 in total
  1 in total

Review 1.  Bacterial Transcriptional Regulators: A Road Map for Functional, Structural, and Biophysical Characterization.

Authors:  Cristian M Pis Diez; Maria Juliana Juncos; Matias Villarruel Dujovne; Daiana A Capdevila
Journal:  Int J Mol Sci       Date:  2022-02-16       Impact factor: 5.923
  1 in total

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