AIMC Topic: Proteome
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ImPLoc: a multi-instance deep learning model for the prediction of protein subcellular localization based on immunohistochemistry images.
Bioinformatics (Oxford, England)
Apr 1, 2020
MOTIVATION: The tissue atlas of the human protein atlas (HPA) houses immunohistochemistry (IHC) images visualizing the protein distribution from the tissue level down to the cell level, which provide an important resource to study human spatial prote...
VacPred: Sequence-based prediction of plant vacuole proteins using machine-learning techniques.
Journal of biosciences
Jan 1, 2020
Subcellular localization prediction of the proteome is one of major goals of large-scale genome or proteome sequencing projects to define the gene functions that could be possible with the help of computational modeling techniques. Previously, differ...
The Genome3D Consortium for Structural Annotations of Selected Model Organisms.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2020
Genome3D consortium is a collaborative project involving protein structure prediction and annotation resources developed by six world-leading structural bioinformatics groups, based in the United Kingdom (namely Blundell, Murzin, Gough, Sternberg, Or...
Omics Data and Artificial Intelligence: New Challenges for Gene Therapy.
Current gene therapy
Jan 1, 2020
Methods of Computational Interactomics for Investigating Interactions of Human Proteoforms.
Biochemistry. Biokhimiia
Jan 1, 2020
Human genome contains ca. 20,000 protein-coding genes that could be translated into millions of unique protein species (proteoforms). Proteoforms coded by a single gene often have different functions, which implies different protein partners. By inte...
An Overview on Predicting Protein Subchloroplast Localization by using Machine Learning Methods.
Current protein & peptide science
Jan 1, 2020
The chloroplast is a type of subcellular organelle of green plants and eukaryotic algae, which plays an important role in the photosynthesis process. Since the function of a protein correlates with its location, knowing its subchloroplast localizatio...
BacPaCS-Bacterial Pathogenicity Classification via Sparse-SVM.
Bioinformatics (Oxford, England)
Jun 1, 2019
MOTIVATION: Bacterial infections are a major cause of illness worldwide. However, most bacterial strains pose no threat to human health and may even be beneficial. Thus, developing powerful diagnostic bioinformatic tools that differentiate pathogenic...
UniProt: a worldwide hub of protein knowledge.
Nucleic acids research
Jan 8, 2019
The UniProt Knowledgebase is a collection of sequences and annotations for over 120 million proteins across all branches of life. Detailed annotations extracted from the literature by expert curators have been collected for over half a million of the...
Proteomics Analysis of FLT3-ITD Mutation in Acute Myeloid Leukemia Using Deep Learning Neural Network.
Annals of clinical and laboratory science
Jan 1, 2019
Deep Learning can significantly benefit cancer proteomics and genomics. In this study, we attempted to determine a set of critical proteins that were associated with the FLT3-ITD mutation in newly-diagnosed acute myeloid leukemia patients. A Deep Lea...
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