ПУБЛИКАЦИИ ПО ПРОЕКТУ¶
2020¶
Madzhidov, T.I. Probabilistic Approach for Virtual Screening Based on Multiple Pharmacophores / A. Rakhimbekova, A. Kutlushuna, P. Polishchuk // Molecules. – 2020. – V. 25, Iss. 2. – P. 385. - doi: 10.3390/molecules25020385. - Q1 (Pharmaceutical Science)
Baskin, I.I. The power of deep learning to ligand-based novel drug discovery // Expert Opin. Drug Discov. – 2020. – V. 15, Iss. 7. – P. 755–764. - doi: 10.1080/17460441.2020.1745183. - Q1 (Drug Discovery)
2019¶
Polishchuk, P. Virtual Screening Using Pharmacophore Models Retrieved from Molecular Dynamic Simulations / P. Polishchuk, A. Kutlushina, D. Bashirova, O. Mokshyna, T. Madzhidov // Int. J. Mol. Sci. – 2019. – Vol. 20, № 23. – P. 5834. - doi: 10.3390/ijms20235834. - Q1 (Inorganic Chemistry, Organic Chemistry, Physical and Theoretical Chemistry, Medicine (miscellaneous))
Baskin, I.I. Continuous molecular fields and the concept of molecular co-fields in structure–activity studies / I.I. Baskin, N.I. Zhokhova // Future Med. Chem. Future Science. – 2019. – Vol. 11, № 20. – P. 2701–2713. - doi: 10.4155/fmc-2018-0360. - Q1 (Drug Discovery)
2018¶
Kutlushina, A. Ligand-Based Pharmacophore Modeling Using Novel 3D Pharmacophore Signatures / A. Khakimova, T. Madzhidov, P. Polishchuk // Molecules. – 2018. – V. 23, Iss. 12. – Art.№ 3094. - doi: 10.3390/molecules23123094. - Q1 (Analytical Chemistry, Chemistry (miscellaneous), Pharmaceutical Science)