A new algorithm to assess the risk of malignancy in premenopausal patients with pelvic mass

Autor: M. S. Katsyuba, R. Sh. Khasanov, T. I. Madzhidov, G. Z. Muratova, G. A. Usmanova, A. F. Akhmetzyanova, A. Rakhimbekova, V. V. Terentyeva, G. R. Fakhrutdinova

Publikováno v: Опухоли женской репродуктивной системы, Vol 18, Iss 1, Pp 76-86 (2022)

Objective: to elaborate a new algorithm, based on serum CA125, HE4 and age, to assess the risk of malignancy in premenopausal patients with pelvic mass, which performs better than Risk of Ovarian Malignancy Algorithm (ROMA).Materials and methods. The

Externí odkaz: https://doaj.org/article/90ba18bf73f84abb8a15b0bc637e4728

Prediction of Optimal Conditions of Hydrogenation Reaction Using the Likelihood Ranking Approach

Autor: Valentina A. Afonina, Daniyar A. Mazitov, Albina Nurmukhametova, Maxim D. Shevelev, Dina A. Khasanova, Ramil I. Nugmanov, Vladimir A. Burilov, Timur I. Madzhidov, Alexandre Varnek

Publikováno v: International Journal of Molecular Sciences, Vol 23, Iss 1, p 248 (2021)

The selection of experimental conditions leading to a reasonable yield is an important and essential element for the automated development of a synthesis plan and the subsequent synthesis of the target compound. The classical QSPR approach, requiring

Externí odkaz: https://doaj.org/article/0a0e16e3cc974ad29905c7396844fdc3

Prediction of Optimal Conditions of Hydrogenation Reaction Using the Likelihood Ranking Approach

Autor: Valentina A. Afonina, Daniyar A. Mazitov, Albina Nurmukhametova, Maxim D. Shevelev, Dina A. Khasanova, Ramil I. Nugmanov, Vladimir A. Burilov, Timur I. Madzhidov, Alexandre Varnek

Publikováno v: International Journal of Molecular Sciences, Vol 23, Iss 248, p 248 (2022)
International Journal of Molecular Sciences
International Journal of Molecular Sciences; Volume 23; Issue 1; Pages: 248

The selection of experimental conditions leading to a reasonable yield is an important and essential element for the automated development of a synthesis plan and the subsequent synthesis of the target compound. The classical QSPR approach, requiring

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6553c9475ebe61ec377275efff8a2dc3
https://www.mdpi.com/1422-0067/23/1/248

Probabilistic Approach for Virtual Screening Based on Multiple Pharmacophores

Autor: Timur I. Madzhidov, Assima Rakhimbekova, Alina Kutlushuna, Pavel Polishchuk

Publikováno v: Molecules, Vol 25, Iss 2, p 385 (2020)

Pharmacophore modeling is usually considered as a special type of virtual screening without probabilistic nature. Correspondence of at least one conformation of a molecule to pharmacophore is considered as evidence of its bioactivity. We show that ph

Externí odkaz: https://doaj.org/article/1909b35133d84079a14c17b5b66c8304

Machine learning modelling of chemical reaction characteristics: yesterday, today, tomorrow

Autor: Timur I. Madzhidov, Assima Rakhimbekova, Valentina A. Afonina, Timur R. Gimadiev, Ravil N. Mukhametgaleev, Ramil I. Nugmanov, Igor I. Baskin, Alexandre Varnek

Publikováno v: Mendeleev Communications. 31:769-780

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::867ae9c83815fa18c717de2a6b84e22a
https://doi.org/10.1016/j.mencom.2021.11.003