Detalhe da pesquisa
1.
Importance of model size in quantum mechanical studies of DNA intercalation.
J Comput Chem
; 41(12): 1175-1184, 2020 05 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-32011009
2.
Ranking protein-protein docking results using steered molecular dynamics and potential of mean force calculations.
J Comput Chem
; 37(20): 1861-5, 2016 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-27232548
3.
Substrate tunnels in enzymes: structure-function relationships and computational methodology.
Proteins
; 83(4): 599-611, 2015 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-25663659
4.
Combining structure- and ligand-based approaches to improve site of metabolism prediction in CYP2C9 substrates.
Pharm Res
; 32(3): 986-1001, 2015 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-25208877
5.
Including ligand-induced protein flexibility into protein tunnel prediction.
J Comput Chem
; 35(24): 1748-56, 2014 Sep 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-25043499
6.
Discovery and multimerization of cross-reactive single-domain antibodies against SARS-like viruses to enhance potency and address emerging SARS-CoV-2 variants.
Sci Rep
; 13(1): 13668, 2023 08 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-37608223
7.
Hexamerization of Anti-SARS CoV IgG1 Antibodies Improves Neutralization Capacity.
Front Immunol
; 13: 864775, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35603164
8.
Structure-Based Design of Selective LONP1 Inhibitors for Probing In Vitro Biology.
J Med Chem
; 64(8): 4857-4869, 2021 04 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-33821636
9.
Development of a virtual reality platform for effective communication of structural data in drug discovery.
J Mol Graph Model
; 89: 234-241, 2019 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-30921557
10.
Ensemble generation and the influence of protein flexibility on geometric tunnel prediction in cytochrome P450 enzymes.
PLoS One
; 9(6): e99408, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-24956479
11.
The next generation's Frankenstein films.
Science
; 359(6372): 170-171, 2018 01 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-29326265