Tropsha Aleksandr . Результативность работы. Персональная страница сотрудника КФУ. Казанский (Приволжский) федеральный университет.

Tropsha Aleksandr . Результативность работы. Персональная страница сотрудника КФУ. Казанский (Приволжский) федеральный университет.

Tropsha Aleksandr (архив)

2019

Tropsha A. Inter-Modular Linkers play a crucial role in governing the biosynthesis of non-ribosomal peptides / S. Farag, R.M. Bleich, E.A. Shank, O. Isayev, A.A. Bowers, A. Tropshа // BIOINFORMATICS. - 2019. - Т. 35 (19). - р. 3584-3591.
Tropsha A. ROBOKOP KG and KGB: Integrated Knowledge Graphs from Federated Sources / Bizon C., Cox S., Balhoff J., Kebede Y., Wang P., Morton K., Fecho K., Tropsha A. // JOURNAL OF CHEMICAL INFORMATION AND MODELING. - 2019. - T. 59 (12). - p. 4968-4973.

2018

2016

Golbraikh, A., Wang, X.S., Zhu, H., and Tropsha, A*. Predictive QSAR Modeling: Methods and Applications in Drug Discovery and Chemical Risk Assessment. In: Handbook of Computational Chemistry, Leszczinki, Ed, Springer, 2016, pp. 1-38

2014

Fourches, D.; Tropsha, A. Quantitative Nanostructure-Activity Relationships: from Unstructured Data to Predictive Models for Designing Nanomaterials with Controlled Properties. In Nanotoxicology: Progress toward Nanomedicine; Monteiro-Riviere, N. A.; Lang Tran, C., Eds.; CRC Press, 2014 (03/2014; ISBN: 9781482203875)

2010

Tropsha, A. Recent Advances in Development, Validation, and Exploitation of QSAR Models. In: Burger's Medicinal Chemistry and Drug Discovery, Abraham, D., Ed., Seventh Edition. Volume 1. New York: John Wiley & Sons, Inc. 2010, pp. 505-533

Work address:	,
Office number:	н-512
Phone:	2337371
E-mail:	ATropsha@kpfu.ru