AIMC Topic: Proteins

Clear Filters Showing 1401 to 1410 of 1984 articles

A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approach.

Journal of computer-aided molecular design Dec 20, 2014
The assessment of binding affinity between ligands and the target proteins plays an essential role in drug discovery and design process. As an alternative to widely used scoring approaches, machine learning methods have also been proposed for fast pr...
HIV Protease Trypsin Carbonic Anhydrases Models, Biological Ligands Proteins Databases, Protein Humans Artificial Intelligence Drug Design Protein Binding Computer-Aided Design
View on PubMed DOI

The GOA database: gene Ontology annotation updates for 2015.

Nucleic acids research Nov 6, 2014
The Gene Ontology Annotation (GOA) resource (http://www.ebi.ac.uk/GOA) provides evidence-based Gene Ontology (GO) annotations to proteins in the UniProt Knowledgebase (UniProtKB). Manual annotations provided by UniProt curators are supplemented by ma...
Gene Ontology Internet Molecular Sequence Annotation Humans Software Proteins Databases, Protein
View on PubMed DOI

Protein submitochondrial localization from integrated sequence representation and SVM-based backward feature extraction.

Molecular bioSystems Oct 21, 2014
Mitochondrion, a tiny energy factory, plays an important role in various biological processes of most eukaryotic cells. Mitochondrial defection is associated with a series of human diseases. Knowledge of the submitochondrial locations of proteins can...
Protein Transport Mitochondria Datasets as Topic Proteins Models, Biological Humans Colorectal Neoplasms ROC Curve Support Vector Machine Algorithms Reproducibility of Results
View on PubMed DOI

PFP/ESG: automated protein function prediction servers enhanced with Gene Ontology visualization tool.

Bioinformatics (Oxford, England) Oct 1, 2014
UNLABELLED: Protein function prediction (PFP) is an automated function prediction method that predicts Gene Ontology (GO) annotations for a protein sequence using distantly related sequences and contextual associations of GO terms. Extended similarit...
Humans Computational Biology Proteins Algorithms Gene Ontology Computer Graphics Sequence Analysis, Protein Databases, Protein Molecular Sequence Annotation
View on PubMed DOI

A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Aug 7, 2014
Ab initio protein secondary structure (SS) predictions are utilized to generate tertiary structure predictions, which are increasingly demanded due to the rapid discovery of proteins. Although recent developments have slightly exceeded previous metho...
Protein Structure, Secondary Proteins Databases, Protein Neural Networks, Computer Machine Learning
View on PubMed DOI

BiVAE-CPI: An Interpretable Generative Model Using a Bilateral Variational Autoencoder for Compound-Protein Interaction Prediction.

Journal of chemical information and modeling Sep 8, 2025
Predicting compound-protein interaction (CPI) plays a critical role in drug discovery and development, but traditional screening experiments consume much time and resources. Therefore, deep learning methods for CPI prediction are popular now. However...
Drug Discovery Deep Learning Proteins Autoencoder Protein Binding
View on PubMed DOI

Employing Artificial Neural Networks for Optimal Storage and Facile Sharing of Molecular Dynamics Simulation Trajectories.

Journal of chemical information and modeling Sep 8, 2025
With the remarkable stride in computing power and advances in Molecular Dynamics (MD) simulation programs, the crucial challenge of storing and sharing large biomolecular simulation data sets has emerged. By leveraging AutoEncoders, a type of artific...
Proteins Neural Networks, Computer Molecular Dynamics Simulation
View on PubMed DOI

DeepPhosPPI: a deep learning framework with attention-CNN and transformer for predicting phosphorylation effects on protein-protein interactions.

Briefings in bioinformatics Sep 6, 2025
Protein phosphorylation regulates protein function and cellular signaling pathways, and is strongly associated with diseases, including neurodegenerative disorders and cancer. Phosphorylation plays a critical role in regulating protein activity and c...
Software Deep Learning Protein Interaction Maps Humans Neural Networks, Computer Databases, Protein Phosphorylation Protein Interaction Mapping Computational Biology Proteins
View on PubMed DOI

Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants.

NAR genomics and bioinformatics Sep 1, 2025
Genetic variants can impact the structure of the corresponding protein, which can have detrimental effects on protein function. While the effect of protein-truncating variants is often easier to evaluate, most genetic variants that affect the protein...
Humans Computational Biology Proteins Protein Conformation Machine Learning Algorithms Mutation, Missense
View on PubMed DOI

DCBLSTM-Deep Convolutional Bidirectional Long Short-Term Memory neural network for Q8 secondary protein structure prediction.

Computers in biology and medicine Sep 1, 2025
Protein secondary structure prediction involves determining a protein's secondary structure from its primary amino acid sequence, serving as a critical step toward tertiary structure prediction. This, in turn, is essential for applications in drug de...
Databases, Protein Protein Structure, Secondary Computational Biology Proteins Humans Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals