AIMC Topic: Membrane Proteins

Clear Filters Showing 41 to 50 of 122 articles

MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms.

Computer methods and programs in biomedicine Jul 1, 2022
BACKGROUND AND OBJECTIVE: Cryo-electron tomography (cryo-ET) is an imaging technique that enables 3D visualization of the native cellular environment at sub-nanometer resolution, providing unpreceded insights into the molecular organization of cells....
Deep Learning Electrons Cryoelectron Microscopy Electron Microscope Tomography Image Processing, Computer-Assisted Membrane Proteins
View on PubMed DOI

SE-BLTCNN: A channel attention adapted deep learning model based on PSSM for membrane protein classification.

Computational biology and chemistry Apr 6, 2022
Membrane protein classification is a key to inferring the function of uncharacterized membrane protein. To get around the time-consuming and expensive biochemical experiments in the wet lab, there has been a lot of research focusing on developing fas...
Position-Specific Scoring Matrices Deep Learning Neural Networks, Computer Attention Membrane Proteins
View on PubMed DOI

MFPS_CNN: Multi-filter Pattern Scanning from Position-specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters.

Molecular informatics Apr 5, 2022
In cellular transportation mechanisms, the movement of ions across the cell membrane and its proper control are important for cells, especially for life processes. Ion transporters/pumps and ion channel proteins work as border guards controlling the ...
Ions Neural Networks, Computer Position-Specific Scoring Matrices Algorithms Membrane Proteins
View on PubMed DOI

Ab-Initio Membrane Protein Amphipathic Helix Structure Prediction Using Deep Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics Apr 1, 2022
Amphipathic helix (AH)features the segregation of polar and nonpolar residues and plays important roles in many membrane-associated biological processes through interacting with both the lipid and the soluble phases. Although the AH structure has bee...
Neural Networks, Computer Membrane Proteins Databases, Protein Machine Learning Algorithms
View on PubMed DOI

iTTCA-MFF: identifying tumor T cell antigens based on multiple feature fusion.

Immunogenetics Mar 5, 2022
Cancer is a terrible disease, recent studies reported that tumor T cell antigens (TTCAs) may play a promising role in cancer treatment. Since experimental methods are still expensive and time-consuming, it is highly desirable to develop automatic com...
Neoplasms Computational Biology Membrane Proteins Algorithms T-Lymphocytes Amino Acid Sequence Mitochondrial Proteins Support Vector Machine Amino Acids Humans
View on PubMed DOI

An Improved Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2022
Alpha-helical proteins ( αTMPs) are essential in various biological processes. Despite their tertiary structures are crucial for revealing complex functions, experimental structure determination remains challenging and costly. In the past decades, va...
Neural Networks, Computer Databases, Protein Membrane Proteins
View on PubMed DOI

Computed structures of core eukaryotic protein complexes.

Science (New York, N.Y.) Dec 10, 2021
Protein-protein interactions play critical roles in biology, but the structures of many eukaryotic protein complexes are unknown, and there are likely many interactions not yet identified. We take advantage of advances in proteome-wide amino acid coe...
Ligases Computer Simulation Deep Learning Acyltransferases Computational Biology Ribosomes Proteome Homologous Recombination Multiprotein Complexes Protein Interaction Maps Chromosome Segregation Ubiquitin Membrane Proteins DNA Repair Saccharomyces cerevisiae Proteins Models, Molecular Protein Interaction Mapping Protein Conformation Evolution, Molecular Saccharomyces cerevisiae Protein Biosynthesis
View on PubMed DOI

MemDis: Predicting Disordered Regions in Transmembrane Proteins.

International journal of molecular sciences Nov 12, 2021
Transmembrane proteins (TMPs) play important roles in cells, ranging from transport processes and cell adhesion to communication. Many of these functions are mediated by intrinsically disordered regions (IDRs), flexible protein segments without a wel...
Data Mining Neural Networks, Computer Internet Intrinsically Disordered Proteins Membrane Proteins Amino Acid Sequence Reproducibility of Results Databases, Protein Protein Conformation Computational Biology Models, Molecular
View on PubMed DOI

TopProperty: Robust Metaprediction of Transmembrane and Globular Protein Features Using Deep Neural Networks.

Journal of chemical theory and computation Oct 18, 2021
Transmembrane proteins (TMPs) are critical components of cellular life. However, due to experimental challenges, the number of experimentally resolved TMP structures is severely underrepresented in databases compared to their cellular abundance. Pred...
Databases, Protein Neural Networks, Computer Algorithms Protein Structure, Secondary Computational Biology Membrane Proteins
View on PubMed DOI

iMPT-FDNPL: Identification of Membrane Protein Types with Functional Domains and a Natural Language Processing Approach.

Computational and mathematical methods in medicine Oct 11, 2021
Membrane protein is an important kind of proteins. It plays essential roles in several cellular processes. Based on the intramolecular arrangements and positions in a cell, membrane proteins can be divided into several types. It is reported that the ...
Databases, Protein Computational Biology Membrane Proteins Protein Domains Natural Language Processing Humans Support Vector Machine Algorithms
View on PubMed DOI
Popular Topics
Recent Journals