21
TITLE: Predicting Hydrophobic Solvation by Molecular Simulation: 1. Testing United-Atom Alkane Models
AUTHORS: Jorge, M; Garrido, NM; Simoes, CJV; Silva, CG; Brito, RMM;
PUBLISHED: 2017, SOURCE: JOURNAL OF COMPUTATIONAL CHEMISTRY, VOLUME: 38, ISSUE: 6
INDEXED IN: WOS CrossRef: 9
IN MY: ORCID
22
TITLE: A Machine Learning Approach to Enhance Scoring Performance in Docking-Based Virtual Screening Experiments: COX-1 as a Case Study
AUTHORS: Candida G Silva; Pedro Carreiras; Elsa S Henriques; Carlos J V Simoes; Rui M M Brito;
PUBLISHED: 2014, SOURCE: 2nd International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO) in PROCEEDINGS IWBBIO 2014: INTERNATIONAL WORK-CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1 AND 2
INDEXED IN: WOS
23
TITLE: Using data mining techniques to probe the role of hydrophobic residues in protein folding and unfolding simulations
AUTHORS: Silva, CG; Ferreira, PG ; Azevedo, PJ ; Brito, RMM;
PUBLISHED: 2009, SOURCE: Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions
INDEXED IN: Scopus CrossRef
IN MY: ORCID
Page 3 of 3. Total results: 23.