Evaluation of AlphaFold3 for the fatty acids docking to human fatty acid-binding proteins.

AlphaFold3 Fatty acid Fatty acid-binding protein Ligand docking Protein structure

Journal

Journal of molecular graphics & modelling
ISSN: 1873-4243
Titre abrégé: J Mol Graph Model
Pays: United States
ID NLM: 9716237

Informations de publication

Date de publication:
27 Sep 2024
Historique:
received: 15 07 2024
revised: 05 09 2024
accepted: 21 09 2024
medline: 3 10 2024
pubmed: 3 10 2024
entrez: 3 10 2024
Statut: aheadofprint

Résumé

Human fatty acid-binding proteins (FABPs) are involved in many aspects of lipid metabolism, such as the uptake, transport, and storage of lipophilic molecules, as well as cellular functions. Understanding how FABPs recognize fatty acids (FAs) is crucial for identifying FABP function and applications, such as in inhibitor design or biomarker development. The recently developed AlphaFold3 (AF3) demonstrates significantly higher accuracy than other prediction tools, particularly in predicting protein-ligand interactions with state-of-the-art docking tools. Studies on whether AF3 can be used to identify the FAs of FABP are lacking. To assess the accuracy of FA docking to FABPs using AF3, models of FA docked into FABP generated using AF3 were compared with experimentally determined FA-bound FABP structures. FA ligands in AF3 structures docked reliably into the FA-binding pocket of FABPs; however, the detailed binding configuration of most FA ligands docked into FABPs and the interaction between FA and FABP determined using AF3 and experimentally differed. These results will aid in understanding FA docking to FABPs and other FA-binding proteins using AF3.

Identifiants

pubmed: 39362060
pii: S1093-3263(24)00172-4
doi: 10.1016/j.jmgm.2024.108872
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108872

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Ki Hyun Nam (KH)

College of General Education, Kookmin University, Seoul 02707, Republic of Korea. Electronic address: structure@kookmin.ac.kr.

Classifications MeSH