AI Medical Compendium Topic:
Databases, Protein

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Granular support vector machine to identify unknown structural classes of protein.

International journal of data mining and bioinformatics
To date, classification of structural class using local protein structure rather than the whole structure has been gaining widespread attention. It is noted that the structural class lies in local composition or arrangement of secondary structure, wh...

A novel fractal approach for predicting G-protein-coupled receptors and their subfamilies with support vector machines.

Bio-medical materials and engineering
G-protein-coupled receptors (GPCRs) are seven membrane-spanning proteins and regulate many important physiological processes, such as vision, neurotransmission, immune response and so on. GPCRs-related pathways are the targets of a large number of ma...

DAPD: A Knowledgebase for Diabetes Associated Proteins.

IEEE/ACM transactions on computational biology and bioinformatics
Recent advancements in genomics and proteomics provide a solid foundation for understanding the pathogenesis of diabetes. Proteomics of diabetes associated pathways help to identify the most potent target for the management of diabetes. The relevant ...

RLIMS-P 2.0: A Generalizable Rule-Based Information Extraction System for Literature Mining of Protein Phosphorylation Information.

IEEE/ACM transactions on computational biology and bioinformatics
We introduce RLIMS-P version 2.0, an enhanced rule-based information extraction (IE) system for mining kinase, substrate, and phosphorylation site information from scientific literature. Consisting of natural language processing and IE modules, the s...

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

IEEE transactions on nanobioscience
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...

Introduction to the analysis of the intracellular sorting information in protein sequences: from molecular biology to artificial neural networks.

Methods in molecular biology (Clifton, N.J.)
A precise spatial-temporal organization of cell components is required for basic cellular activities such as proliferation and for complex multicellular processes such as embryo development. Particularly important is the maintenance and control of th...