AIMC Topic: Membrane Proteins

Clear Filters Showing 51 to 60 of 122 articles

Highly accurate protein structure prediction for the human proteome.

Nature Jul 22, 2021
Protein structures can provide invaluable information, both for reasoning about biological processes and for enabling interventions such as structure-based drug development or targeted mutagenesis. After decades of effort, 17% of the total residues i...
Datasets as Topic Protein Conformation Diacylglycerol O-Acyltransferase Protein Folding Proteome Membrane Proteins Models, Molecular Glucose-6-Phosphatase Humans Reproducibility of Results Deep Learning Computational Biology
View on PubMed DOI

Accurate prediction of protein structures and interactions using a three-track neural network.

Science (New York, N.Y.) Jul 15, 2021
DeepMind presented notably accurate predictions at the recent 14th Critical Assessment of Structure Prediction (CASP14) conference. We explored network architectures that incorporate related ideas and obtained the best performance with a three-track ...
Membrane Proteins Proteins Databases, Protein Receptors, G-Protein-Coupled Neural Networks, Computer Computer Simulation Deep Learning Multiprotein Complexes Protein Subunits Sphingosine N-Acyltransferase Crystallography, X-Ray Protein Conformation Cryoelectron Microscopy Protein Folding Models, Molecular Amino Acid Sequence ADAM Proteins
View on PubMed DOI

Loop-mediated isothermal amplification (LAMP) and machine learning application for early pregnancy detection using bovine vaginal mucosal membrane.

Biochemical and biophysical research communications Jul 10, 2021
An early and accurate pregnancy diagnosis method is required to improve the reproductive performance of cows. Here we developed an easy pregnancy detection method using vaginal mucosal membrane (VMM) with application of Reverse Transcription-Loop-med...
Animals Cattle RNA-Binding Proteins Molecular Diagnostic Techniques Machine Learning Female Cytokines Biomarkers Reproducibility of Results Pregnancy Sensitivity and Specificity Mucous Membrane Vagina CA-125 Antigen Ubiquitins Membrane Proteins Nucleic Acid Amplification Techniques Adaptor Proteins, Signal Transducing Gene Expression
View on PubMed DOI

In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal Proteins.

International journal of molecular sciences Jun 15, 2021
Peroxisomes are ubiquitous membrane-bound organelles, and aberrant localisation of peroxisomal proteins contributes to the pathogenesis of several disorders. Many computational methods focus on assigning protein sequences to subcellular compartments,...
Protein Transport Peroxisomes Mitochondrial Proteins Reproducibility of Results Deep Learning Membrane Proteins Software Amino Acid Sequence Algorithms
View on PubMed DOI

Regression plane concept for analysing continuous cellular processes with machine learning.

Nature communications May 5, 2021
Biological processes are inherently continuous, and the chance of phenotypic discovery is significantly restricted by discretising them. Using multi-parametric active regression we introduce the Regression Plane (RP), a user-friendly discovery tool e...
Biological Phenomena Cell Line, Tumor Carcinoma, Hepatocellular Membrane Proteins Cell Differentiation Supervised Machine Learning Cell Cycle Drosophila melanogaster Cell Physiological Phenomena Humans Machine Learning Animals
View on PubMed DOI

Analyzing protein dynamics from fluorescence intensity traces using unsupervised deep learning network.

Communications biology Nov 12, 2020
We propose an unsupervised deep learning network to analyze the dynamics of membrane proteins from the fluorescence intensity traces. This system was trained in an unsupervised manner with the raw experimental time traces and synthesized ones, so nei...
Humans Deep Learning Membrane Proteins Unsupervised Machine Learning MCF-7 Cells Fluorescent Dyes Carbocyanines Microscopy, Fluorescence Diffusion HeLa Cells
View on PubMed DOI

Ensemble learning models that predict surface protein abundance from single-cell multimodal omics data.

Methods (San Diego, Calif.) Oct 9, 2020
Single-cell protein abundance is a fundamental type of information to characterize cell states. Due to high cost and technical barriers, however, direct quantification of proteins is difficult. Single-cell RNA sequencing (scRNA-seq) data, serving as ...
Gene Expression Regulation Single-Cell Analysis Computational Biology Sequence Analysis, RNA Membrane Proteins Humans Transcriptome Deep Learning
View on PubMed DOI

DEEPSMP: A deep learning model for predicting the ectodomain shedding events of membrane proteins.

Journal of bioinformatics and computational biology Jun 23, 2020
Membrane proteins play essential roles in modern medicine. In recent studies, some membrane proteins involved in ectodomain shedding events have been reported as the potential drug targets and biomarkers of some serious diseases. However, there are f...
Neural Networks, Computer Databases, Protein Area Under Curve Reproducibility of Results Models, Molecular Sensitivity and Specificity Protein Domains Deep Learning Membrane Proteins
View on PubMed DOI

IMPContact: An Interhelical Residue Contact Prediction Method.

BioMed research international Mar 25, 2020
As an important category of proteins, alpha-helix transmembrane proteins (TMPs) play an important role in various biological activities. Because the solved αTMP structures are inadequate, predicting the residue contacts among the transmembrane segmen...
Computational Biology Membrane Proteins Databases, Protein Protein Conformation Neural Networks, Computer Machine Learning Algorithms
View on PubMed DOI

Computational Identification and Analysis of Ubiquinone-Binding Proteins.

Cells Feb 24, 2020
Ubiquinone is an important cofactor that plays vital and diverse roles in many biological processes. Ubiquinone-binding proteins (UBPs) are receptor proteins that dock with ubiquinones. Analyzing and identifying UBPs via a computational approach will...
Sequence Analysis, Protein Humans Computational Biology Protein Interaction Domains and Motifs Machine Learning Position-Specific Scoring Matrices Membrane Proteins Protein Binding Ubiquinone Carrier Proteins Gene Ontology Amino Acid Sequence Binding Sites
View on PubMed DOI
Popular Topics
Recent Journals