Literature DB >> 34267868

Artificial Intelligence Deconstructs Drug Targeting In Vivo by Leveraging a Transformer Platform.

Ariel Fernández1,2.   

Abstract

Lead optimization in structure-based drug design ultimately requires that the therapeutic agent be evaluated in the cellular context. However, the in vivo control of the target structure remains unyielding to computational modeling. This situation may change as transformer technologies enable a deconstruction of in vivo cooperativity steering drug-induced protein folding.
© 2021 American Chemical Society.

Entities:  

Year:  2021        PMID: 34267868      PMCID: PMC8274063          DOI: 10.1021/acsmedchemlett.1c00237

Source DB:  PubMed          Journal:  ACS Med Chem Lett        ISSN: 1948-5875            Impact factor:   4.632


  9 in total

1.  Taming the induced folding of drug-targeted kinases.

Authors:  Ariel Fernández; Soledad Bazán; Jianping Chen
Journal:  Trends Pharmacol Sci       Date:  2008-12-26       Impact factor: 14.819

2.  Atomic-Level Description of Protein Folding inside the GroEL Cavity.

Authors:  Stefano Piana; David E Shaw
Journal:  J Phys Chem B       Date:  2018-10-19       Impact factor: 2.991

3.  Molecular chaperones: providing a safe place to weather a midlife protein-folding crisis.

Authors:  Patricia L Clark; Adrian H Elcock
Journal:  Nat Struct Mol Biol       Date:  2016-07-06       Impact factor: 15.369

Review 4.  Co-translational protein folding: progress and methods.

Authors:  Michael Thommen; Wolf Holtkamp; Marina V Rodnina
Journal:  Curr Opin Struct Biol       Date:  2016-12-09       Impact factor: 6.809

5.  Binding-induced folding under unfolding conditions: Switching between induced fit and conformational selection mechanisms.

Authors:  Sreemantee Sen; Jayant B Udgaonkar
Journal:  J Biol Chem       Date:  2019-10-03       Impact factor: 5.157

Review 6.  Artificial Intelligence Teaches Drugs to Target Proteins by Tackling the Induced Folding Problem.

Authors:  Ariel Fernández
Journal:  Mol Pharm       Date:  2020-07-07       Impact factor: 4.939

7.  Modeling protein folding in vivo.

Authors:  Irina Sorokina; Arcady Mushegian
Journal:  Biol Direct       Date:  2018-07-06       Impact factor: 4.540

8.  Molecular features of the UNC-45 chaperone critical for binding and folding muscle myosin.

Authors:  Doris Hellerschmied; Anita Lehner; Nina Franicevic; Renato Arnese; Chloe Johnson; Antonia Vogel; Anton Meinhart; Robert Kurzbauer; Luiza Deszcz; Linn Gazda; Michael Geeves; Tim Clausen
Journal:  Nat Commun       Date:  2019-10-21       Impact factor: 14.919

9.  ATP hydrolysis by yeast Hsp104 determines protein aggregate dissolution and size in vivo.

Authors:  Udhayabhaskar Sathyanarayanan; Marina Musa; Peter Bou Dib; Nuno Raimundo; Ira Milosevic; Anita Krisko
Journal:  Nat Commun       Date:  2020-10-16       Impact factor: 14.919

  9 in total

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