AIMC Topic: Protein Isoforms
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Improved ontology for eukaryotic single-exon coding sequences in biological databases.
Database : the journal of biological databases and curation
Jan 1, 2018
Efficient extraction of knowledge from biological data requires the development of structured vocabularies to unambiguously define biological terms. This paper proposes descriptions and definitions to disambiguate the term 'single-exon gene'. Eukaryo...
An ultrasensitive electrochemical immunosensor for Cry1Ab based on phage displayed peptides.
Talanta
Nov 22, 2017
The rapid and widespread adoption of Bacillus thuringiensis (Bt) proteins in genetically modified (GM) crops has raised concerns about the impact of GM crops on environment and food safety. A sensitive and specific method for detecting Bt proteins in...
Endotoxins
Protein Isoforms
Bacillus thuringiensis
Metal Nanoparticles
Antibodies, Monoclonal
Biological Variation, Individual
Zea mays
Bacillus thuringiensis Toxins
Electrochemical Techniques
Limit of Detection
Transgenes
Bacterial Proteins
Hemolysin Proteins
Gold
Electrodes
Gene Expression
Immunoassay
Plants, Genetically Modified
Biosensing Techniques
Insecticides
Peptide Library
Crops, Agricultural
Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes.
BMC bioinformatics
Mar 1, 2017
BACKGROUND: Investigating and understanding drug-drug interactions (DDIs) is important in improving the effectiveness of clinical care. DDIs can occur when two or more drugs are administered together. Experimentally based DDI detection methods requir...
Semi-supervised Learning Predicts Approximately One Third of the Alternative Splicing Isoforms as Functional Proteins.
Cell reports
Jul 2, 2015
Alternative splicing acts on transcripts from almost all human multi-exon genes. Notwithstanding its ubiquity, fundamental ramifications of splicing on protein expression remain unresolved. The number and identity of spliced transcripts that form sta...
Better prediction of functional effects for sequence variants.
BMC genomics
Jun 18, 2015
Elucidating the effects of naturally occurring genetic variation is one of the major challenges for personalized health and personalized medicine. Here, we introduce SNAP2, a novel neural network based classifier that improves over the state-of-the-a...
ASpdb: an integrative knowledgebase of human protein isoforms from experimental and AI-predicted structures.
Nucleic acids research
Jan 6, 2025
Alternative splicing is a crucial cellular process in eukaryotes, enabling the generation of multiple protein isoforms with diverse functions from a single gene. To better understand the impact of alternative splicing on protein structures, protein-p...
Enhancing novel isoform discovery: leveraging nanopore long-read sequencing and machine learning approaches.
Briefings in functional genomics
Dec 6, 2024
Long-read sequencing technologies can capture entire RNA transcripts in a single sequencing read, reducing the ambiguity in constructing and quantifying transcript models in comparison to more common and earlier methods, such as short-read sequencing...
Deep-Learning Uncovers certain CCM Isoforms as Transcription Factors.
Frontiers in bioscience (Landmark edition)
Feb 21, 2024
BACKGROUND: Cerebral Cavernous Malformations (CCMs) are brain vascular abnormalities associated with an increased risk of hemorrhagic strokes. Familial CCMs result from autosomal dominant inheritance involving three genes: (), (), and (). CCM1 and...
AI-Assisted Processing Pipeline to Boost Protein Isoform Detection.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2024
Proteomics, the study of proteins within biological systems, has seen remarkable advancements in recent years, with protein isoform detection emerging as one of the next major frontiers. One of the primary challenges is achieving the necessary peptid...
IsoFrog: a reversible jump Markov Chain Monte Carlo feature selection-based method for predicting isoform functions.
Bioinformatics (Oxford, England)
Sep 2, 2023
MOTIVATION: A single gene may yield several isoforms with different functions through alternative splicing. Continuous efforts are devoted to developing machine-learning methods to predict isoform functions. However, existing methods do not consider ...
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