Počet záznamů: 1  

SQM/COSMO Scoring Function: Reliable Quantum-Mechanical Tool for Sampling and Ranking in Structure-Based Drug Design

  1. 1.
    0531546 - ÚOCHB 2021 RIV DE eng J - Článek v odborném periodiku
    Pecina, Adam - Eyrilmez, Saltuk M. - Köprülüoglu, Cemal - Miriyala, Vijay Madhav - Lepšík, Martin - Fanfrlík, Jindřich - Řezáč, Jan - Hobza, Pavel
    SQM/COSMO Scoring Function: Reliable Quantum-Mechanical Tool for Sampling and Ranking in Structure-Based Drug Design.
    ChemPlusChem. Roč. 85, č. 11 (2020), s. 2362-2371. ISSN 2192-6506. E-ISSN 2192-6506
    Grant CEP: GA MŠMT(CZ) EF16_019/0000729
    Institucionální podpora: RVO:61388963
    Klíčová slova: in silico drug design * protein-ligand binding * quantum mechanics * semiempirical methods * virtual screening
    Obor OECD: Physical chemistry
    Impakt faktor: 2.863, rok: 2020
    Způsob publikování: Omezený přístup
    https://doi.org/10.1002/cplu.202000120

    Quantum mechanical (QM) methods have been gaining importance in structure‐based drug design where a reliable description of protein‐ligand interactions is of utmost significance. However, strategies i. e. QM/MM, fragmentation or semiempirical (SQM) methods had to be pursued to overcome the unfavorable scaling of QM methods. Various SQM‐based approaches have significantly contributed to the accuracy of docking and improvement of lead compounds. Parametrizations of SQM and implicit solvent methods in our laboratory have been instrumental to obtain a reliable SQM‐based scoring function. The experience gained in its application for activity ranking of ligands binding to tens of protein targets resulted in setting up a faster SQM/COSMO scoring approach, which outperforms standard scoring methods in native pose identification for two dozen protein targets with ten thousand poses. Recently, SQM/COSMO was effectively applied in a proof‐of‐concept study of enrichment in virtual screening. Due to its superior performance, feasibility and chemical generality, we propose the SQM/COSMO approach as an efficient tool in structure‐based drug design.
    Trvalý link: http://hdl.handle.net/11104/0310179

     
     
Počet záznamů: 1  

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