| Literature DB >> 25414519 |
Andrey V Ilatovskiy1, Ruben Abagyan2, Irina Kufareva2.
Abstract
The rapid growth of the available crystallographic information about proteins and binding pockets creates remarkable opportunities for enriching the drug research pipelines with computational prediction of novel protein-ligand interactions. While ab initio quantum mechanical approaches are known to provide unprecedented accuracy in structure-based binding energy calculations, they are limited to only small systems of dozens of atoms. In the structural chemogenomics era, it is critical that new approaches are developed that enable application of QM methodologies to non-covalent interactions in systems as large as protein-ligand complexes and conformational ensembles. This perspective highlights recent advances towards bridging the gap between high accuracy and high volume computations in drug research.Entities:
Keywords: Pocketome; Protein-ligand complex; binding energy prediction; binding pocket ensemble; virtual ligand screening
Year: 2013 PMID: 25414519 PMCID: PMC4235788 DOI: 10.1002/qua.24400
Source DB: PubMed Journal: Int J Quantum Chem ISSN: 0020-7608 Impact factor: 2.444