AIMC Topic: Protein Binding

Clear Filters Showing 951 to 954 of 954 articles

Prediction of protein-protein interaction sites from weakly homologous template structures using meta-threading and machine learning.

Journal of molecular recognition : JMR Jan 1, 2015
The identification of protein-protein interactions is vital for understanding protein function, elucidating interaction mechanisms, and for practical applications in drug discovery. With the exponentially growing protein sequence data, fully automate...
Machine Learning Software Algorithms Protein Binding Evolution, Molecular Proteins Models, Molecular Hydrogen Bonding Binding Sites
View on PubMed DOI

Constructing query-driven dynamic machine learning model with application to protein-ligand binding sites prediction.

IEEE transactions on nanobioscience Jan 1, 2015
We are facing an era with annotated biological data rapidly and continuously generated. How to effectively incorporate new annotated data into the learning step is crucial for enhancing the performance of a bioinformatics prediction model. Although m...
Machine Learning Protein Binding Proteins Databases, Protein Models, Biological Nucleotides Ligands Binding Sites
View on PubMed DOI

Some remarks on prediction of protein-protein interaction with machine learning.

Medicinal chemistry (Shariqah (United Arab Emirates)) Jan 1, 2015
Protein-protein interactions (PPIs) play a key role in many cellular processes. Uncovering the PPIs and their function within the cell is a challenge of post-genomic biology and will improve our understanding of disease and help in the development of...
Machine Learning Algorithms Protein Binding Proteins High-Throughput Screening Assays
View on PubMed DOI

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
View on PubMed DOI
Popular Topics
Recent Journals