Work

QSAR Study of 17β-HSD3 Inhibitors by Genetic Algorithm-Support Vector Machine as a Target Receptor for the Treatment of Prostate Cancer.

Year: 2017

Type: article

Abstract: and concordance correlation coefficient values, Golbraikh and Tropsha acceptable model criteria's, and an extra evaluation set from an external data set. Applicability domain of the linear model was carefully defined using Williams plot. Moreover, Euclidean based applicability domain was applied to define the chemical structural diversity of the evaluation set and training set.

Source: Europe PMC (PubMed Central)

Authors: Eslam Pourbasheer, Saadat Vahdani, Davood Malekzadeh, Reza Aalizadeh, Amin Ebadi

Institutions: Payame Noor University, Islamic Azad University North Tehran Branch, National and Kapodistrian University of Athens, Islamic Azad University, Tehran, Islamic Azad University Kazeron

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Drug Discovery

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W2742621173

FWCI: 0.471

Cites: 27

Cited by: 8

Related to: 10