pub009 - MolModa: Accessible and secure molecular docking in a web browser

Authors: Yuri Kochnev, Mayar Ahmed, Alex M. Maldonado, Jacob D. Durrant

Journal: Nucleic Acids Research

Citations: 1

DOI: 10.1093/nar/gkae406

Abstract

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Molecular docking advances early-stage drug discovery by predicting the geometries and affinities of small-molecule compounds bound to drug-target receptors, predictions that researchers can leverage in prioritizing drug candidates for experimental testing. Unfortunately, existing docking tools often suffer from poor usability, data security, and maintainability, limiting broader adoption. Additionally, the complexity of the docking process, which requires users to execute a series of specialized steps, often poses a substantial barrier for non-expert users. Here, we introduce MolModa, a secure, accessible environment where users can perform molecular docking entirely in their web browsers. We provide two case studies that illustrate how MolModa provides valuable biological insights. We further compare MolModa to other docking tools to highlight its strengths and limitations. MolModa is available free of charge for academic and commercial use, without login or registration, at durrantlab.com/molmoda.

Citation

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@article{kochnev2024molmoda,
  title={{MolModa}: Accessible and secure molecular docking in a web browser},
  author={Kochnev, Yuri, Ahmed, Mayar and Maldonado, Alex M and Durrant, Jacob D},
  journal={Nucleic Acids Res.},
  volume={52},
  number={W1},
  pages={W498--W506},
  year={2024},
  doi={10.1093/nar/gkae406}
}