E-FTMap: A Protein Structure Based Pharmacophore Identification Server for Guiding Fragment Expansion.

Area of Science:

• Computational chemistry
• Structural biology
• Drug discovery

Background:

• Fragment-based drug design (FBDD) involves screening small compounds that bind weakly to protein targets.
• Fragment hits require expansion into more potent compounds for higher binding affinities.
• Ligand binding preferences of target proteins are crucial for guiding fragment expansion strategies.

Purpose of the Study:

• To introduce E-FTMap, an automated web server for identifying pharmacophore binding regions.
• To demonstrate E-FTMap's utility in guiding fragment expansion for improved drug potency.
• To provide a computational tool for structure-based drug design.

Main Methods:

• E-FTMap distributes 119 small organic probes across a protein's binding site.
• The server identifies energy minima and clusters probes by atom type to reveal binding preferences.
• FTMap server can identify binding hot spots if the binding site is not initially known.

Main Results:

• E-FTMap successfully identified important pharmacophore binding regions for 17 different protein targets.
• The protocol demonstrated effective guidance for expanding fragment hits into higher affinity binders.
• The E-FTMap web server provides atom-specific binding information based on protein structure alone.

Conclusions:

• E-FTMap is a valuable tool for structure-based fragment expansion in drug discovery.
• The automated protocol enhances the efficiency of developing potent drug leads from fragment hits.
• E-FTMap facilitates rational drug design by revealing specific ligand-protein interactions.