Phyo Phyo Kyaw Zin

Zin, P. P. K., Borrel, A., & Fourches, D. (2020). Benchmarking 2D/3D/MD-QSAR Models for Imatinib Derivatives: How Far Can We Predict? JOURNAL OF CHEMICAL INFORMATION AND MODELING, 60(7), 3342–3360. https://doi.org/10.1021/acs.jcim.0c00200

Zin, P. P. K., Williams, G. J., & Ekins, S. (2020). Cheminformatics Analysis and Modeling with MacrolactoneDB. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-63192-4

Kuenemann, M. A., Zin, P. P., Kuchibhotla, S., & Fourches, D. (2020, January 17). Cheminformatics Modeling of Closantel Analogues for Treating River Blindness (Vol. 1). Vol. 1. https://doi.org/10.26434/chemrxiv.11606019.v1

Makarov, V., Salina, E., Reynolds, R. C., Zin, P. P. K., & Ekins, S. (2020). Molecule Property Analyses of Active Compounds for Mycobacterium tuberculosis. JOURNAL OF MEDICINAL CHEMISTRY, 63(17), 8917–8955. https://doi.org/10.1021/acs.jmedchem.9b02075

Zin, P. P. K., Williams, G., & Fourches, D. (2020). SIME: synthetic insight-based macrolide enumerator to generate the V1B library of 1 billion macrolides. Journal of Cheminformatics, 12(1). https://doi.org/10.1186/s13321-020-00427-6

Odenkirk, M. T., Zin, P. P. K., Ash, J. R., Reif, D. M., Fourches, D., & Baker, E. S. (2020). Structural-based connectivity and omic phenotype evaluations (SCOPE): a cheminformatics toolbox for investigating lipidomic changes in complex systems. ANALYST, 145(22), 7197–7209. https://doi.org/10.1039/d0an01638a

Zin, P. P. K., Williams, G., & Fourches, D. (2018). Cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds. Journal of Cheminformatics, 10(1). https://doi.org/10.1186/s13321-018-0307-6