ArticleBiochimica et biophysica acta. General subjects2020
Identification and characterization of fragment binding sites for allosteric ligand design using the site identification by ligand competitive saturation hotspots approach (SILCS-Hotspots).
Article in Biochimica et biophysica acta. General subjects, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed, 62 citations in OpenAlex.
- Automated pharmacophore hypothesis generator for SILCS-Pharm: ph4gen.Journal of computer-aided molecular design · 2026Article
- Mixed-Solvent MD suite: modular tools for building and analyzing mixed-solvent molecular dynamics systems.Journal of computer-aided molecular design · 2026Article
- Targeting conserved domains of hypoxia-inducible factors for cancer therapy.The Journal of experimental medicine · 2026Article
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- Computational Ligand-Binding Site Prediction.Advances in experimental medicine and biology · 2026Review
- Bile Acids Are Potential Negative Allosteric Modulators of M1 Muscarinic Receptors.Biomolecules · 2025Article
- CrypToth: Cryptic Pocket Detection through Mixed-Solvent Molecular Dynamics Simulations-Based Topological Data Analysis.Journal of chemical information and modeling · 2025Article
- CrypTothML: An Integrated Mixed-Solvent Molecular Dynamics Simulation and Machine Learning Approach for Cryptic Site Prediction.International journal of molecular sciences · 2025Article
- Investigating the Interaction between Excipients and Monoclonal Antibodies PGT121 and N49P9.6-FR-LS: A Comprehensive Analysis.Molecular pharmaceutics · 2025Article
- Detection of Putative Ligand Dissociation Pathways in Proteins Using Site-Identification by Ligand Competitive Saturation.Journal of chemical information and modeling · 2025Article
- Exploring Binding Sites in Chagas Disease Protein TcP21 Using Integrated Mixed Solvent Molecular Dynamics Approaches.Journal of chemical information and modeling · 2025Article
- CDK2 Allosteric Modulators: The New Route in the Design of New Drugs as Anticancer and Non-hormonal Contraceptives.Current medicinal chemistry · 2025Review
- Combined Physics- and Machine-Learning-Based Method to Identify Druggable Binding Sites Using SILCS-Hotspots.Journal of chemical information and modeling · 2024Article
- Article
- Enhancing SILCS-MC via GPU Acceleration and Ligand Conformational Optimization with Genetic and Parallel Tempering Algorithms.The journal of physical chemistry. B · 2024Article
- Identifying and Assessing Putative Allosteric Sites and Modulators for CXCR4 Predicted through Network Modeling and Site Identification by Ligand Competitive Saturation.The journal of physical chemistry. B · 2024Article
- Preventing lipophilic aggregation in cosolvent molecular dynamics simulations with hydrophobic probes using Plumed Automatic Restraining Tool (PART).Journal of cheminformatics · 2024Article
- GPU-specific algorithms for improved solute sampling in grand canonical Monte Carlo simulations.Journal of computational chemistry · 2023Article
- Integrated Covalent Drug Design Workflow Using Site Identification by Ligand Competitive Saturation.Journal of chemical theory and computation · 2023Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundFragment-based ligand design is used for the development of novel ligands that target macromolecules, most notably proteins. Central to its success is the identification of fragment binding sites that are spatially adjacent such that fragments occupying those sites may be linked to create drug-like ligands. Current experimental and computational approaches that address this problem typically identify only a limited number of sites as well as use a limited number of fragment types.
methodsThe site-identification by ligand competitive saturation (SILCS) approach is extended to the identification of fragment bindings sites, with the method termed SILCS-Hotspots. The approach involves precomputation of the SILCS FragMaps following which the identification of Hotspots, performed by identifying of all possible fragment binding sites on the full 3D structure of the protein followed by spatial clustering.
resultsThe SILCS-Hotspots approach identifies a large number of sites on the target protein, including many sites not accessible in experimental structures due to low binding affinities and binding sites on the protein interior. The identified sites are shown to recapitulate the location of known drug-like molecules in both allosteric and orthosteric binding sites on seven proteins including the androgen receptor, the CDK2 and Erk5 kinases, PTP1B phosphatase and three GPCRs; the β2-adrenergic, GPR40 fatty-acid binding and M2-muscarinic receptors. Analysis indicates the importance of considering all possible fragment binding sites, and not just those accessible to experimental methods, when identifying novel binding sites and performing ligand design versus just considering the most favorable sites. The approach is shown to identify a larger number of known binding sites of drug-like molecules versus the commonly used FTMap and Fpocket methods. GENERAL SIGNIFICANCE: The present results indicate the potential utility of the SILCS-Hotspots approach for fragment-based rational design of ligands, including allosteric modulators.
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