Bruno Neves in 9Th Brazilian Symposium on Medicinal Chemistry

Bruno Neves

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Papers 8

Efficient Identification of Novel Anti-Glioma Lead Compounds by Machine Learning Models
Bruno Neves ¹
Mario Senger
Marcelo do Nascimento Gomes
Rosângela Mayer Gonçalves
Jonathan Paulo Agnes
Marina Delgobo
Marcio Donza
Lauro Ribeiro de Souza Neto
Sabrina Ferreira
Floriano SIlva-Jr
Alfeu Zanotto-Filho
Carolina Andrade
¹ LabChem – Laboratory of Cheminformatics, Centro Universitário de Anápolis, UniEVANGÉLICA, Anápolis, GO, Brazil.
Vol. 1, 2019 -
111991

1. Strategies in Drug Design

Poster only
Artificial intelligence-driven research for drug discovery: tackling Chagas disease
Álice Cristina Borges Morais ¹
Josiel Araujo Lemes
Rodolpho de Campos Braga
Carolina Andrade
Bruno Neves ²
¹ Centro Universitário de Anápolis - UniEvangélica
² Centro Universitário de Anápolis- UniEvangélica
Vol. 1, 2019 -
109001

1. Strategies in Drug Design

Poster and Oral (selected)
Structural optimization of Schistosoma mansoni aspartyl protease inhibitors: integration of computational and experimental methods
Bárbara Gomes
José Teófilo Moreira-Filho
Mario Senger
Bruno Neves
Nick Furnham
Raymond Owens
Carolina Andrade
Floriano SIlva-Jr
Vol. 1, 2019 -
109006

1. Strategies in Drug Design

Poster only
QSAR-Based Virtual Screening of Potential Anti-Candida Hit Compounds
DIENNY RODRIGUES DE SOUZA
Adriano Luis Fernandes Crocetti
Bruno Neves
Célia Maria de Almeida Soares
Maristela Pereira
Vol. 1, 2019 -
110359

1. Strategies in Drug Design

Poster only
Quantitative Structure-Activity Relationship Models for Cryptococcosis: A Virtual Screening Approach
Amanda Alves de Oliveira
Lívia Do Carmo Silva
Célia Maria de Almeida Soares
Bruno Neves
Maristela Pereira
Vol. 1, 2019 -
109003

1. Strategies in Drug Design

Poster only

BrazMedChem 2019

Bruno Neves

Efficient Identification of Novel Anti-Glioma Lead Compounds by Machine Learning Models

Artificial intelligence-driven research for drug discovery: tackling Chagas disease

Structural optimization of Schistosoma mansoni aspartyl protease inhibitors: integration of computational and experimental methods

QSAR-Based Virtual Screening of Potential Anti-Candida Hit Compounds

Quantitative Structure-Activity Relationship Models for Cryptococcosis: A Virtual Screening Approach

Co-authors (43)

Carolina Andrade

José Teófilo Moreira-Filho

Maristela Pereira

Célia Maria de Almeida Soares

Gustavo Capatti Cassiano

Floriano SIlva-Jr

Fabio Maranhão Costa

Arthur de Carvalho e Silva

Kaira Cristina Peralis Tomaz

Lívia Do Carmo Silva

Nick Furnham

Raymond Owens

Letícia Tiburcio Ferreira

Tatyana Almeida Tavella

Daniel Youssef Bargieri

Marcus Vinícius Guimarães de Lacerda

Lauro Ribeiro de Souza Neto

Stefanie Costa Pinto Lopes

Sabrina Ferreira

Juliana Calit Paim

Amanda Alves de Oliveira

Mario Senger

Macejane Ferreira de Souza

Marcelo do Nascimento Gomes

Marília Lima

Alfeu Zanotto-Filho

Rodolpho de Campos Braga

Marcio Donza

Marina Delgobo

Jonathan Paulo Agnes

Rosângela Mayer Gonçalves

João Rezende-Neto

Giuliana V. Shirato

Josiel Araujo Lemes

Walter César G. Valente

Rafael Dantas

Adriano Luis Fernandes Crocetti

DIENNY RODRIGUES DE SOUZA

Bárbara Gomes

Pedro Vitor Lemos Cravo

Juliana Rodrigues

Djane Clarys Baia da Silva

Álice Cristina Borges Morais

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