Decrypting Integrins by mixed-solvent molecular dynamics simulations
Title | Decrypting Integrins by mixed-solvent molecular dynamics simulations |
Publication Type | Journal Article |
Year of Publication | 2023 |
Authors | Ilie I.M, Ehrhardt C., Caflisch A., Weitz-Schmidt G. |
Journal | Journal of Chemical Information and Modeling |
Volume | 63 |
Pagination | 3878–3891 |
Date Published | 2023 June 13 |
Type of Article | Research Article |
Keywords | allostery, integrins, molecular dynamics simulations, SEED |
Abstract | Integrins are a family of α/β heterodimeric cell surface adhesion receptors which are capable of transmitting signals bidirectionally across membranes. They are known for their therapeutic potential in a wide range of diseases. However, the development of integrin-targeting medications has been impacted by unexpected downstream effects including unwanted agonist-like effects. Allosteric modulation of integrins is a promising approach to potentially overcome these limitations. Applying mixed-solvent molecular dynamics (MD) simulations to integrins, the current study uncovers hitherto unknown allosteric sites within the integrin α I domains of LFA-1 (αLβ2; CD11a/CD18), VLA-1 (α1β1; CD49a/CD29), and Mac-1 (αMβ2, CD11b/CD18). We show that these pockets are putatively accessible to small-molecule modulators. The findings reported here may provide opportunities for the design of novel allosteric integrin inhibitors lacking the unwanted agonism observed with earlier as well as current integrin-targeting drugs. |
DOI | 10.1021/acs.jcim.3c00480 |
pubindex | 0288 |
Alternate Journal | J. Chem. Inf. Model. |
PubMed ID | 37310029 |
PubMed Central ID | PMC10302478 |