| Predicting enzyme class from protein structure using Bayesian classification LC Borro, SRM Oliveira, MEB Yamagishi, AL Mancini, JG Jardine, ... Genet Mol Res 5 (1), 193-202, 2006 | 69 | 2006 |
| The diamond STING server G Neshich, LC Borro, RH Higa, PR Kuser, MEB Yamagishi, EH Franco, ... Nucleic acids research 33 (suppl_2), W29-W35, 2005 | 43 | 2005 |
| The Star STING server: a multiplatform environment for protein structure analysis G Neshich, I Mazoni, SR Oliveira, ME Yamagishi, PR Kuser-Falcao, ... Genet Mol Res 5 (4), 717-722, 2006 | 38 | 2006 |
| Citrus bioflavonoid, hesperetin, as inhibitor of two thrombin-like snake venom serine proteases isolated from Crotalus simus R Vander dos Santos, F Villalta-Romero, D Stanisic, L Borro, G Neshich, ... Toxicon 143, 36-43, 2018 | 32 | 2018 |
| Discovery of small molecule inhibitors for the snake venom metalloprotease BaP1 using in silico and in vitro tests F Villalta-Romero, L Borro, B Mandic, T Escalante, A Rucavado, ... Bioorganic & Medicinal Chemistry Letters 27 (9), 2018-2022, 2017 | 14 | 2017 |
| Computational biology tools for identifying specific ligand binding residues for novel agrochemical and drug design I Agostinho Pena Neshich, L Nishimura, F Rogerio de Moraes, ... Current Protein and Peptide Science 16 (8), 701-717, 2015 | 11 | 2015 |
| Using structural and physical–chemical parameters to identify, classify, and predict functional districts in proteins—the role of electrostatic potential G Neshich, IA Pena Neshich, F Moraes, JA Salim, L Borro, IH Yano, ... Computational Electrostatics for Biological Applications: Geometric and …, 2014 | 7 | 2014 |
| Escalonamento em grades móveis: Uma abordagem ciente do consumo de energia LC Borro Universidade de São Paulo, 2014 | 7 | 2014 |
| Protein allosteric site identification using machine learning and per amino acid residue reported internal protein nanoenvironment descriptors FB Omage, JA Salim, I Mazoni, IH Yano, L Borro, JEH Gonzalez, ... Computational and Structural Biotechnology Journal 23, 3907-3919, 2024 | 6 | 2024 |
| MEB yamagishi, AL Mancini, JG Jardine, I. Mazoni, EH do Santos, RH Higa, PRK Falcão, and G. Neshich. Predictiong enzyme class from protein structure using bayesian classification LC Borro, SR de Medeiros Oliveira Genetic and Molecular Research 1, 193-202, 2006 | 6 | 2006 |
| Study of specific nanoenvironments containing α-helices in all-α and (α+ β)+(α/β) proteins I Mazoni, LC Borro, JG Jardine, IH Yano, JA Salim, G Neshich PloS one 13 (7), e0200018, 2018 | 5 | 2018 |
| A comparison between internal protein nanoenvironments of α-helices and β-sheets I Mazoni, JA Salim, FR de Moraes, L Borro, G Neshich Plos one 15 (12), e0244315, 2020 | 4 | 2020 |
| Biologia computacional molecular e suas aplicações na agricultura. JG JARDINE, IAP NESHICH, I MAZONI, IH YANO, FR de MORAES, ... | 3 | 2017 |
| Learning to utilize internal protein 3D nanoenvironment descriptors in predicting CRISPR–Cas9 off-target activity JK Mak, A Bendandi, JA Salim, I Mazoni, FR de Moraes, L Borro, F Störtz, ... NAR Genomics and Bioinformatics 7 (2), lqaf054, 2025 | 1 | 2025 |
| Comprehensive analysis of the distinct nano environments characteristics containing the different secondary structure elements: α-helices, β-sheets, and turns I Mazoni, JA Salim, FR de Moraes, JL Correa, LC Borro, G Neshich Current Nanomedicine 15 (3), 267-285, 2025 | 1 | 2025 |
| Binding affinity prediction using a nonparametric regression model based on physicochemical and structural descriptors of the nano-environment for protein-ligand interactions. L BORRO, IH YANO, I MAZONI, G NESHICH | 1 | 2016 |
| Uma metodologia para seleção de parâmetros em modelos de classificação de proteínas. SRM OLIVEIRA, MEB Yamagishi, LC Borro, PRK Falcão, ... | 1 | 2006 |
| Otimização do ranqueamento de pequenos compostos orgânicos em campanhas de triagem virtual usando atributos físico-químicos e estruturais do nanoambiente de interação proteína … LC Borro [sn], 2023 | | 2023 |
| Computational biology tools in design of an agrochemical against Xyllela fastidiosa. SF FULAZ, F CABRINI, L TASIC, L BORRO, G NESHICH, SF FULAZ, ... | | 2020 |
| Improving binding affinity prediction by using a rule-based model with physical-chemical and structural descriptors of the nano-environment for protein-ligand interactions. LC BORRO, JA SALIM, I MAZONI, I YANO, JG JARDINE, G NESHICH, ... | | 2020 |
Goran NeshichEmbrapa Digital AgricultureVerified email at embrapa.br
