Detalhe da pesquisa
1.
Structure-Based Identification of Natural-Product-Derived Compounds with Potential to Inhibit HIV-1 Entry.
Molecules
; 28(2)2023 Jan 04.
Artigo
Inglês
| MEDLINE | ID: mdl-36677538
2.
Development of a proteochemometric-based support vector machine model for predicting bioactive molecules of tubulin receptors.
Mol Divers
; 26(4): 2231-2242, 2022 Aug.
Artigo
Inglês
| MEDLINE | ID: mdl-34626303
3.
In Silico Screening of Isocitrate Lyase for Novel Anti-Buruli Ulcer Natural Products Originating from Africa.
Molecules
; 23(7)2018 06 27.
Artigo
Inglês
| MEDLINE | ID: mdl-29954088
4.
EBOLApred: A machine learning-based web application for predicting cell entry inhibitors of the Ebola virus.
Comput Biol Chem
; 101: 107766, 2022 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-36088668
5.
Molecular modelling and de novo fragment-based design of potential inhibitors of beta-tubulin gene of Necator americanus from natural products.
Inform Med Unlocked
; 262021.
Artigo
Inglês
| MEDLINE | ID: mdl-34912942