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Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
Published on: July 8, 2025
Retrospective Mapping of SAR Data for TTR Protein in Chemico-Biological Space Using Ligand Efficiency Indices as a
Daniel Blasi1, Gemma Arsequell2, Gregori Valencia2
1Drug Discovery Platform, Parc Científic Barcelona (PCB), Baldiri Reixac 4-6, E-08028 Barcelona, Spain. dblasip@pcb.ub.es.
Abstract:
We have previously reported the design and synthesis of ligands that stabilize Transthyretin protein (TTR) in order to obtain therapeutically active compounds for Familial Amyloid Polyneuropathy (FAP). We are hereby reporting a drug design strategy to optimize these ligands and map them in Chemico-Biological Space (CBS) using Ligand Efficiency Indices (LEIs). We use a binding efficiency index (BEI) based on the measured binding affinity related to the molecular weight (MW) of the compound combined with surface-binding efficiency index (SEI) based on Polar Surface Area (PSA). We will illustrate the use of these indices, combining three crucial variables (potency, MW and PSA) in a 2D graphical representation of chemical space, to perform a retrospective mapping of SAR data for a current TTR inhibitors database, and we propose prospective strategies to use these efficiency indices and chemico-biological space maps for optimization and drug design efforts for TTR ligands.
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