ArticleJournal of chemical information and modeling2024
Expanding FTMap for Fragment-Based Identification of Pharmacophore Regions in Ligand Binding Sites.
Article in Journal of chemical information and modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Hierarchical decoding of targeting tripeptide motif by the cytosolic iron-sulfur cluster assembly targeting complex.bioRxiv : the preprint server for biology · 2026Article
- Reading between the Chains: Surface Mapping and Druggable Pockets on the Biological Assemblies of DENV-2's Protein E.ACS omega · 2026Article
- Modeling Protein-Protein and Protein-Ligand Interactions by the ClusPro Team in CASP16.Proteins · 2026Article
- A New Fragment-Based Pharmacophore Virtual Screening Workflow Identifies Potent Inhibitors of SARS-CoV-2 NSP13 Helicase.Journal of computational chemistry · 2025Article
- In Silico discovery of novel androgen receptor inhibitors for prostate cancer therapy using virtual screening, molecular docking, and molecular dynamics simulations.Scientific reports · 2025Article
- E-FTMap: A Protein Structure Based Pharmacophore Identification Server for Guiding Fragment Expansion.Journal of molecular biology · 2025Article
- An In Silico Approach to Discover Efficient Natural Inhibitors to Tie Up Epstein-Barr Virus Infection.Pathogens (Basel, Switzerland) · 2024Article
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Authors and funding
7 authors.
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Abstract
The knowledge of ligand binding hot spots and of the important interactions within such hot spots is crucial for the design of lead compounds in the early stages of structure-based drug discovery. The computational solvent mapping server FTMap can reliably identify binding hot spots as consensus clusters, free energy minima that bind a variety of organic probe molecules. However, in its current implementation, FTMap provides limited information on regions within the hot spots that tend to interact with specific pharmacophoric features of potential ligands. E-FTMap is a new server that expands on the original FTMap protocol. E-FTMap uses 119 organic probes, rather than the 16 in the original FTMap, to exhaustively map binding sites, and identifies pharmacophore features as atomic consensus sites where similar chemical groups bind. We validate E-FTMap against a set of 109 experimentally derived structures of fragment-lead pairs, finding that highly ranked pharmacophore features overlap with the corresponding atoms in both fragments and lead compounds. Additionally, comparisons of mapping results to ensembles of bound ligands reveal that pharmacophores generated with E-FTMap tend to sample highly conserved protein-ligand interactions. E-FTMap is available as a web server at https://eftmap.bu.edu.
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