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Moldina: a fast and accurate search algorithm for simultaneous docking of multiple ligands

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F25%3A00141536" target="_blank" >RIV/00216224:14310/25:00141536 - isvavai.cz</a>

  • Alternative codes found

    RIV/00159816:_____/25:00082437 RIV/61989100:27740/25:10258221

  • Result on the web

    <a href="https://jcheminf.biomedcentral.com/articles/10.1186/s13321-025-01005-4" target="_blank" >https://jcheminf.biomedcentral.com/articles/10.1186/s13321-025-01005-4</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s13321-025-01005-4" target="_blank" >10.1186/s13321-025-01005-4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Moldina: a fast and accurate search algorithm for simultaneous docking of multiple ligands

  • Original language description

    Protein-ligand docking is a computational method routinely used in many structural biology applications. It usually involves one receptor and one ligand. The docking of multiple ligands, however, can be important in several situations, such as the study of synergistic effects, substrate and product inhibition, or competitive binding. This can be a challenging and computationally demanding process. By integrating Particle Swarm Optimization into the established AutoDock Vina framework, we provided a powerful tool capable of accelerating drug discovery, and computational enzymology. Here we present Moldina (Multiple-Ligand Molecular Docking over AutoDock Vina), a new algorithm built upon AutoDock Vina. Through comprehensive testing against AutoDock Vina, the algorithm exhibited comparable accuracy in predicting ligand binding conformations while significantly reducing the computational time up to several hundred times. Moldina and the benchmark data are freely available at https://opencode.it4i.eu/permed/moldina-multiple-ligand-molecular-docking-over-autodock-vina and https://github.com/It4innovations/moldina-multiple-ligand-molecular-docking-over-autodock-vina.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Cheminformatics

  • ISSN

    1758-2946

  • e-ISSN

  • Volume of the periodical

    17

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    10

  • Pages from-to

    1-10

  • UT code for WoS article

    001478420800003

  • EID of the result in the Scopus database

    2-s2.0-105004187573