The accurate identification of non-covalent interactions (NCIs) is central in Structure-Based Drug Design (SBDD). However, state-of-the-art profilers rely on geometric heuristics that fail to capture the full physical complexity of protein-ligand binding. GRIPkit is a CLI- and GUI-enabled computational suite designed to bridge this gap, coupling multi-engine geometric profiling with quantum mechanics (QM) for a multilevel, automated, and physically rigorous characterization of protein-ligand interactions. Its modular architecture is fully parallelizable across large structural databases, while also operating as a stand-alone tool with interactive 2D/3D visualization.

Carbone, G., Manenti, A., Teruzzi, G., Sandrone, G., Rovelli, G., Oliva, M., et al. (2026). GRIPkit: A Comprehensive Computational Suite for the Characterization and Quantification of Non-Covalent Interactions in Protein–Ligand Complexes.. In NMMC30 Book of abstracts (pp.88-88).

GRIPkit: A Comprehensive Computational Suite for the Characterization and Quantification of Non-Covalent Interactions in Protein–Ligand Complexes.

Carbone, G.
Primo
;
Greco, C.;Cosentino, U. R.
Ultimo
2026

Abstract

The accurate identification of non-covalent interactions (NCIs) is central in Structure-Based Drug Design (SBDD). However, state-of-the-art profilers rely on geometric heuristics that fail to capture the full physical complexity of protein-ligand binding. GRIPkit is a CLI- and GUI-enabled computational suite designed to bridge this gap, coupling multi-engine geometric profiling with quantum mechanics (QM) for a multilevel, automated, and physically rigorous characterization of protein-ligand interactions. Its modular architecture is fully parallelizable across large structural databases, while also operating as a stand-alone tool with interactive 2D/3D visualization.
abstract + poster
Structure-Based Drug Design (SBDD); Computational Chemistry; Non-Covalent Interactions (NCIs); Interaction Profiling; Protein-Ligand Complexes;
English
XXX National Meeting on Medicinal Chemistry (NMMC30) - dal 13 al 16 settembre 2026
2026
NMMC30 Book of abstracts
2026
88
88
P017
https://nmmc2026.unime.it/wp-content/uploads/sites/96/2026/09/NMMC2026_abstract_book_final.pdf
none
Carbone, G., Manenti, A., Teruzzi, G., Sandrone, G., Rovelli, G., Oliva, M., et al. (2026). GRIPkit: A Comprehensive Computational Suite for the Characterization and Quantification of Non-Covalent Interactions in Protein–Ligand Complexes.. In NMMC30 Book of abstracts (pp.88-88).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/626585
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