A Perspective on Protein Structure Prediction Using Quantum Computers.

Journal

Journal of chemical theory and computation
ISSN: 1549-9626
Titre abrégé: J Chem Theory Comput
Pays: United States
ID NLM: 101232704

Informations de publication

Date de publication:
04 May 2024
Historique:
medline: 5 5 2024
pubmed: 5 5 2024
entrez: 4 5 2024
Statut: aheadofprint

Résumé

Despite the recent advancements by deep learning methods such as AlphaFold2,

Identifiants

DOI: 10.1021/acs.jctc.4c00067 PMID: 38703105
pubmed: 38703105
doi: 10.1021/acs.jctc.4c00067
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Hakan Doga (H)

IBM Quantum, Almaden Research Center, San Jose, California 95120, United States.
ORCID: 0000-0003-2574-2038

Bryan Raubenolt (B)

Center for Computational Life Sciences, Lerner Research Institute, The Cleveland Clinic, Cleveland, Ohio 44106, United States.

Fabio Cumbo (F)

Center for Computational Life Sciences, Lerner Research Institute, The Cleveland Clinic, Cleveland, Ohio 44106, United States.

Jayadev Joshi (J)

Center for Computational Life Sciences, Lerner Research Institute, The Cleveland Clinic, Cleveland, Ohio 44106, United States.

Frank P DiFilippo (FP)

Center for Computational Life Sciences, Lerner Research Institute, The Cleveland Clinic, Cleveland, Ohio 44106, United States.

Jun Qin (J)

Center for Computational Life Sciences, Lerner Research Institute, The Cleveland Clinic, Cleveland, Ohio 44106, United States.

Daniel Blankenberg (D)

Center for Computational Life Sciences, Lerner Research Institute, The Cleveland Clinic, Cleveland, Ohio 44106, United States.
ORCID: 0000-0002-6833-9049

Omar Shehab (O)

IBM Quantum, IBM Thomas J Watson Research Center, Yorktown Heights, New York 10598, United States.

Classifications MeSH