Virtual Screening Based on Electrostatic Similarity and Flexible Ligands-Reference-Cited by-同舟云学术

Virtual Screening Based on Electrostatic Similarity and Flexible Ligands

Published:2022 Issue: Volume: Page:127-139
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2022 Workshops
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Author:

Puertas-Martín Savíns^ORCID,Redondo Juana L.^ORCID,Banegas-Luna Antonio J.^ORCID,Garzón Ester M.^ORCID,Pérez-Sánchez Horacio^ORCID,Gillet Valerie J.^ORCID,Ortigosa Pilar M.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-10562-3_10

Reference16 articles.

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4. Fatumo, S., Adebiyi, M., Adebiyi, E.: In silico models for drug resistance. In: Kortagere, S. (eds.) In Silico Models for Drug Discovery. Methods in Molecular Biology, vol. 993. Humana Press, Totowa (2013). https://doi.org/10.1007/978-1-62703-342-8_4

5. Hu, J., Liu, Z., Yu, D.J., Zhang, Y.: LS-align: an atom-level, flexible ligand structural alignment algorithm for high-throughput virtual screening. In: Bioinformatics, vol. 34, pp. 2209–2218. Oxford University Press (2018). https://doi.org/10.1093/bioinformatics/bty081