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Integrated Anchored Stapling and Hierarchical Dynamics: MSICDA-Driven CREBBP Bromodomain Inhibition.
- Source :
-
Journal of chemical information and modeling [J Chem Inf Model] 2024 Jun 24; Vol. 64 (12), pp. 4739-4758. Date of Electronic Publication: 2024 Jun 11. - Publication Year :
- 2024
-
Abstract
- Despite recent success in the computational approaches of cyclic peptide design, current studies face challenges in modeling noncanonical amino acids and nonstandard cyclizations due to limited data. To address this challenge, we developed an integrated framework for the tailored design of stapled peptides (SPs) targeting the bromodomain of CREBBP (CREBBP-BrD). We introduce a powerful combination of anchored stapling and hierarchical molecular dynamics to design and optimize SPs by employing the MultiScale integrative conformational dynamics assessment (MSICDA) strategy, which involves an initial virtual screening of over 1.5 million SPs, followed by comprehensive simulations amounting to 154.54 μs across 5418 of instances. The MSICDA method provides a detailed and holistic stability view of peptide-protein interactions, systematically isolated optimized peptides and identified two leading candidates, DA#430 and DA#99409, characterized by their enhanced stability, optimized binding, and high affinity toward the CREBBP-BrD. In cell-free assays, DA#430 and DA#99409 exhibited 2- to 12-fold greater potency than inhibitor SGC-CBP30. Cell studies revealed higher peptide selectivity for cancerous versus normal cells over small molecules. DA#430 combined with (+)-JQ-1 showed promising synergistic effects. Our approach enables the identification of peptides with optimized binding, high affinity, and enhanced stability, leading to more precise and effective cyclic peptide design, thereby establishing MSICDA as a generalizable and transformative tool for uncovering novel targeted drug development in various therapeutic areas.
- Subjects :
- Humans
Peptides, Cyclic chemistry
Peptides, Cyclic pharmacology
Peptides, Cyclic metabolism
Protein Domains
Protein Conformation
Peptides chemistry
Peptides metabolism
Peptides pharmacology
Cell Line, Tumor
Protein Binding
CREB-Binding Protein chemistry
CREB-Binding Protein metabolism
CREB-Binding Protein antagonists & inhibitors
Molecular Dynamics Simulation
Subjects
Details
- Language :
- English
- ISSN :
- 1549-960X
- Volume :
- 64
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- Journal of chemical information and modeling
- Publication Type :
- Academic Journal
- Accession number :
- 38863138
- Full Text :
- https://doi.org/10.1021/acs.jcim.4c00381