Chemoinformatics in drug design. Artificial neural networks for simultaneous prediction of anti-enterococci activities and toxicological profiles

IJCCI 2013 - Proceedings of the 5th International Joint Conference on Computational Intelligence

Volumn , Issue , 2013, Pages 458-465

  Speck Planche, Alejandro ^a   Cordeiro, M N D S ^a  

^a UNIVERSITY OF PORTO   (Portugal)

Author keywords

Artificial Neural Networks; BC 3781; Enterococci; Inhibitors; Mtk QSBER; Topological Indices; Toxicity

Indexed keywords

ANTI-BACTERIAL AGENTS; ANTI-MICROBIAL ACTIVITY; BC-3781; ENTEROCOCCI; EXPERIMENTAL CONDITIONS; INTRINSIC RESISTANCE; MTK-QSBER; TOPOLOGICAL INDEX;

ANTIMICROBIAL AGENTS; BIOACTIVITY; CHEMOTHERAPY; COMPUTATIONAL CHEMISTRY; CORROSION INHIBITORS; FORECASTING; MOLECULAR GRAPHICS; NEURAL NETWORKS; TOPOLOGY; TOXICITY;

STRUCTURAL DESIGN;

EID: 84887441051     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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