QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping.

MLA

Škuta, C., et al. “QSAR-Derived Affinity Fingerprints (Part 1): Fingerprint Construction and Modeling Performance for Similarity Searching, Bioactivity Classification and Scaffold Hopping.” Journal of Cheminformatics, vol. 12, no. 1, May 2020, p. 39. EBSCOhost, https://doi.org/10.1186/s13321-020-00443-6.

APA

Škuta, C., Cortés-Ciriano, I., Dehaen, W., Kříž, P., van Westen, G. J. P., Tetko, I. V., Bender, A., & Svozil, D. (2020). QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping. Journal of Cheminformatics, 12(1), 39. https://doi.org/10.1186/s13321-020-00443-6

Chicago

Škuta, C, I Cortés-Ciriano, W Dehaen, P Kříž, G J P van Westen, I V Tetko, A Bender, and D Svozil. 2020. “QSAR-Derived Affinity Fingerprints (Part 1): Fingerprint Construction and Modeling Performance for Similarity Searching, Bioactivity Classification and Scaffold Hopping.” Journal of Cheminformatics 12 (1): 39. doi:10.1186/s13321-020-00443-6.