2009
DOI: 10.1093/bioinformatics/btp036
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Fragment-based identification of druggable ‘hot spots’ of proteins using Fourier domain correlation techniques

Abstract: FTMAP is available as a server at http://ftmap.bu.edu/.

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Cited by 393 publications
(604 citation statements)
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References 30 publications
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“…In silico probing of the three-dimensional surface of eIF4E for potential drug binding sites by computational solvent mapping (15) revealed the presence of five shallow pockets that form an elongated binding site and could support small molecule interactions ( Fig. 2A).…”
Section: Modeling Binding Of 4e1rcat To Eif4e Predicts Interference Wmentioning
confidence: 99%
“…In silico probing of the three-dimensional surface of eIF4E for potential drug binding sites by computational solvent mapping (15) revealed the presence of five shallow pockets that form an elongated binding site and could support small molecule interactions ( Fig. 2A).…”
Section: Modeling Binding Of 4e1rcat To Eif4e Predicts Interference Wmentioning
confidence: 99%
“…2. Pocket 1 comprises the effector binding loop (residues [30][31][32][33][34][35][36][37][38][39][40], β2 (residues 55 and 57), and several residues in α-helix 1. Pocket 2 involves the core β-strands 1 and 2, part of the effector loop, and switch 2.…”
Section: Resultsmentioning
confidence: 99%
“…Since PPI often lack obvious cavities, docking must be preceded by a search for potentially dockable (bindable) cavities and grooves. Virtual screening has demonstrated particular promise for docking fragments, and researchers are actively working to integrate virtual screening and fragment discovery for PPI inhibitors (Betzi et al 2009;Fuller et al 2009;Reynes et al 2010;Vajda and Kozakov 2009;Brenke et al 2009). The convergence of PPI surface simulation, target-optimized docking procedures, and PPI inhibitororiented virtual compound collections presents an exciting opportunity to drug the hardest of PPI targets.…”
Section: Methodsmentioning
confidence: 99%