AIMC Topic: Computational Biology

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Ligand biological activity predictions using fingerprint-based artificial neural networks (FANN-QSAR).

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
This chapter focuses on the fingerprint-based artificial neural networks QSAR (FANN-QSAR) approach to predict biological activities of structurally diverse compounds. Three types of fingerprints, namely ECFP6, FP2, and MACCS, were used as inputs to t...
Neural Networks, Computer Algorithms Protein Binding Computational Biology Models, Molecular Ligands Databases, Chemical Quantitative Structure-Activity Relationship Cannabinoids Receptors, Cannabinoid
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Prediction of bioactive peptides using artificial neural networks.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
Peptides are molecules of varying complexity, with different functions in the organism and with remarkable therapeutic interest. Predicting peptide activity by computational means can help us to understand their mechanism of action and deliver powerf...
Neural Networks, Computer Software Anti-Infective Agents Peptides Drug Design Computational Biology Models, Chemical Databases, Pharmaceutical
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Management and modeling of balance disorders using decision support systems: the EMBALANCE project.

Advances in experimental medicine and biology Jan 1, 2015
In this work, we present the concept, the methodological ideas and the architecture of the EMBALANCE platform. EMBALANCE platform extends existing but generic and currently uncoupled balance modeling activities, leading to a multi-scale and patient-s...
Humans Software Prospective Studies Retrospective Studies Reproducibility of Results Aged Adult Sensitivity and Specificity Middle Aged Computational Biology Models, Theoretical Age Factors Internet Expert Systems Dizziness Sensation Disorders
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