AIMC Topic: Cell Cycle Proteins

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NNAlign: a platform to construct and evaluate artificial neural network models of receptor-ligand interactions.

Nucleic acids research Jul 3, 2017
Peptides are extensively used to characterize functional or (linear) structural aspects of receptor-ligand interactions in biological systems, e.g. SH2, SH3, PDZ peptide-recognition domains, the MHC membrane receptors and enzymes such as kinases and ...
Humans Neural Networks, Computer Software Algorithms Peptides Protein Binding Databases, Protein Basic Helix-Loop-Helix Leucine Zipper Transcription Factors Internet Forkhead Transcription Factors Amino Acid Sequence Ligands Cell Cycle Proteins Binding Sites Trans-Activators Sequence Alignment HLA-A1 Antigen HLA-B7 Antigen HLA-B8 Antigen HLA-DRB1 Chains
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Identification of Cell Cycle-Regulated Genes by Convolutional Neural Network.

Combinatorial chemistry & high throughput screening Jan 1, 2017
BACKGROUND: The cell cycle-regulated genes express periodically with the cell cycle stages, and the identification and study of these genes can provide a deep understanding of the cell cycle process. Large false positives and low overlaps are big pro...
Neural Networks, Computer Algorithms Databases, Genetic Saccharomyces cerevisiae Cell Cycle Proteins Saccharomyces cerevisiae Proteins
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