AIMC Topic: Computational Biology

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Improved Prediction of Protein-Protein Interaction Mapping on by Using Amino Acid Sequence Features in a Supervised Learning Framework.

Protein and peptide letters
BACKGROUND: Protein-Protein Interaction (PPI) has emerged as a key role in the control of many biological processes including protein function, disease incidence, and therapy design. However, the identification of PPI by wet lab experiment is a chall...

Maintaining Privacy in Artificial Intelligence-driven Bioinformatics: An Inquiry into the Suitability of Australia's Laws.

Journal of law and medicine
Since its humble origins in 1950, artificial intelligence (AI) has experienced exponential growth. In 2020 it seems that there is an AI for just about every aspect of life - from targeted advertising to minimally invasive surgery. It is generally tho...

Artificial intelligence and the hunt for immunological disorders.

Current opinion in allergy and clinical immunology
PURPOSE OF REVIEW: Artificial intelligence has pervasively transformed many industries and is beginning to shape medical practice. New use cases are being identified in subspecialty domains of medicine and, in particular, application of artificial in...

Network Building with the Cytoscape BioGateway App Explained in Five Use Cases.

Current protocols in bioinformatics
The BioGateway App is a plugin for the Cytoscape network editor, allowing users to interactively build biological networks by querying the Biogateway Resource Description Framework (RDF) triple store. BioGateway contains information from several cura...

Biomedical named entity recognition and linking datasets: survey and our recent development.

Briefings in bioinformatics
Natural language processing (NLP) is widely applied in biological domains to retrieve information from publications. Systems to address numerous applications exist, such as biomedical named entity recognition (BNER), named entity normalization (NEN) ...

Fold-LTR-TCP: protein fold recognition based on triadic closure principle.

Briefings in bioinformatics
As an important task in protein structure and function studies, protein fold recognition has attracted more and more attention. The existing computational predictors in this field treat this task as a multi-classification problem, ignoring the relati...

An omics perspective on drug target discovery platforms.

Briefings in bioinformatics
The drug discovery process starts with identification of a disease-modifying target. This critical step traditionally begins with manual investigation of scientific literature and biomedical databases to gather evidence linking molecular target to di...