MolPredictX: Online Biological Activity Predictions by Machine Learning Models-Reference-Cited by-同舟云学术

MolPredictX: Online Biological Activity Predictions by Machine Learning Models

Published:2022-09 Issue:12 Volume:41 Page:2200133
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Molecular Informatics

Author:

Tullius Scotti Marcus¹^ORCID,Herrera‐Acevedo Chonny¹²^ORCID,Barros de Menezes Renata Priscila¹^ORCID,Martin Holli‐Joi³,Muratov Eugene N.³,Ítalo de Souza Silva Ávilla¹,Faustino Albuquerque Emmanuella¹,Ferreira Calado Lucas¹,Coy‐Barrera Ericsson⁴,Scotti. Luciana¹

Affiliation:

1. Programa de Pós-Graduação de Produtos Naturais e Sintéticos Bioativos Universidade Federal da Paraíba 58051-900 João Pessoa-PB Brazil

2. Department of Chemical Engineering Universidad ECCI Carrera 19 # 49-20 111311 Bogotá D.C. Colombia

3. Laboratory for Molecular Modeling Division of Chemical Biology and Medicinal Chemistry UNC Eshelman School of Pharmacy University of North Carolina Chapel Hill NC, 27599 USA

4. Bioorganic Chemistry Laboratory Facultad de Ciencias Básicas y Aplicadas Universidad Militar Nueva Granada Cajicá 250247 Colombia

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,Molecular Medicine,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/minf.202200133

Reference62 articles.

1. QSAR Modeling: Where Have You Been? Where Are You Going To?

2. Predictive QSAR Modeling Workflow, Model Applicability Domains, and Virtual Screening