AlphaFold2 models of the active form of all 437 catalytically competent human protein kinase domains.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
03 Sep 2023
Historique:
pubmed: 7 8 2023
medline: 7 8 2023
entrez: 7 8 2023
Statut: epublish

Résumé

Humans have 437 catalytically competent protein kinase domains with the typical kinase fold, similar to the structure of Protein Kinase A (PKA). Only 155 of these kinases are in the Protein Data Bank in their active form. The active form of a kinase must satisfy requirements for binding ATP, magnesium, and substrate. From structural bioinformatics analysis of 40 unique substrate-bound kinases, we derived several criteria for the active form of protein kinases. We include requirements on the DFG motif of the activation loop but also on the positions of the N-terminal and C-terminal segments of the activation loop that must be placed appropriately to bind substrate. Because the active form of catalytic kinases is needed for understanding substrate specificity and the effects of mutations on catalytic activity in cancer and other diseases, we used AlphaFold2 to produce models of all 437 human protein kinases in the active form. This was accomplished with templates in the active form from the PDB and shallow multiple sequence alignments of orthologs and close homologs of the query protein. We selected models for each kinase based on the pLDDT scores of the activation loop residues, demonstrating that the highest scoring models have the lowest or close to the lowest RMSD to 22 non-redundant substrate-bound structures in the PDB. A larger benchmark of all 130 active kinase structures with complete activation loops in the PDB shows that 80% of the highest-scoring AlphaFold2 models have RMSD < 1.0 Å and 90% have RMSD < 2.0 Å over the activation loop backbone atoms. Models for all 437 catalytic kinases are available at http://dunbrack.fccc.edu/kincore/activemodels. We believe they may be useful for interpreting mutations leading to constitutive catalytic activity in cancer as well as for templates for modeling substrate and inhibitor binding for molecules which bind to the active state.

Identifiants

pubmed: 37547017
doi: 10.1101/2023.07.21.550125
pmc: PMC10401967
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NCI NIH HHS
ID : P30 CA006927
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM122517
Pays : United States

Auteurs

Bulat Faezov (B)

Institute for Cancer Research, Fox Chase Cancer Center, Philadelphia PA 19111, USA.
Kazan Federal University, Kazan, Russian Federation.

Roland L Dunbrack (RL)

Institute for Cancer Research, Fox Chase Cancer Center, Philadelphia PA 19111, USA.

Classifications MeSH