AIMC Topic: Proteomics

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DextMP: deep dive into text for predicting moonlighting proteins.

Bioinformatics (Oxford, England)
MOTIVATION: Moonlighting proteins (MPs) are an important class of proteins that perform more than one independent cellular function. MPs are gaining more attention in recent years as they are found to play important roles in various systems including...

DiagnoProt: a tool for discovery of new molecules by mass spectrometry.

Bioinformatics (Oxford, England)
MOTIVATION: Around 75% of all mass spectra remain unidentified by widely adopted proteomic strategies. We present DiagnoProt, an integrated computational environment that can efficiently cluster millions of spectra and use machine learning to shortli...

Alignment-Free Methods for the Detection and Specificity Prediction of Adenylation Domains.

Methods in molecular biology (Clifton, N.J.)
Identifying adenylation domains (A-domains) and their substrate specificity can aid the detection of nonribosomal peptide synthetases (NRPS) at genome/proteome level and allow inferring the structure of oligopeptides with relevant biological activiti...

The combination of artificial neural networks and synchrotron radiation-based infrared micro-spectroscopy for a study on the protein composition of human glial tumors.

The Analyst
Protein-related changes associated with the development of human brain gliomas are of increasing interest in modern neuro-oncology. It is due to the fact that they might make some of these tumors highly aggressive and difficult to treat. This paper p...

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 ...

Protein structural information derived from NMR chemical shift with the neural network program TALOS-N.

Methods in molecular biology (Clifton, N.J.)
Chemical shifts are obtained at the first stage of any protein structural study by NMR spectroscopy. Chemical shifts are known to be impacted by a wide range of structural factors, and the artificial neural network based TALOS-N program has been trai...

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...