AIMC Topic: Amino Acid Sequence

Clear Filters Showing 641 to 650 of 694 articles

Towards peptide-based tunable multistate memristive materials.

Physical chemistry chemical physics : PCCP Jan 28, 2021
Development of new memristive hardware is a technological requirement towards widespread neuromorphic computing. Molecular spintronics seems to be a fertile field for the design and preparation of this hardware. Within molecular spintronics, recent r...
Amino Acid Sequence Base Sequence Neural Networks, Computer Peptides Lanthanoid Series Elements Metalloproteins
View on PubMed DOI

Machine and Deep Learning for Prediction of Subcellular Localization.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Protein subcellular localization prediction (PSLP), which plays an important role in the field of computational biology, identifies the position and function of proteins in cells without expensive cost and laborious effort. In the past few decades, v...
Proteins Amino Acid Sequence Deep Learning Computational Biology Neural Networks, Computer
View on PubMed DOI

Deep Learning in Drug Target Interaction Prediction: Current and Future Perspectives.

Current medicinal chemistry Jan 1, 2021
Drug-target Interactions (DTIs) prediction plays a central role in drug discovery. Computational methods in DTIs prediction have gained more attention because carrying out in vitro and in vivo experiments on a large scale is costly and time-consuming...
Drug Development Proteins Pharmaceutical Preparations Amino Acid Sequence Humans Deep Learning
View on PubMed DOI

Improved Prediction of Protein-Protein Interaction Mapping on by Using Amino Acid Sequence Features in a Supervised Learning Framework.

Protein and peptide letters Jan 1, 2021
BACKGROUND: Protein-Protein Interaction (PPI) has emerged as a key role in the control of many biological processes including protein function, disease incidence, and therapy design. However, the identification of PPI by wet lab experiment is a chall...
Computational Biology Support Vector Machine Humans Protein Interaction Maps Protein Interaction Mapping Sequence Analysis, Protein Proteins Amino Acid Sequence
View on PubMed DOI

Predicting bacterial virulence factors - evaluation of machine learning and negative data strategies.

Briefings in bioinformatics Sep 25, 2020
Bacterial proteins dubbed virulence factors (VFs) are a highly diverse group of sequences, whose only obvious commonality is the very property of being, more or less directly, involved in virulence. It is therefore tempting to speculate whether their...
Amino Acid Sequence Datasets as Topic Dimerization Bacterial Proteins Virulence Factors Proteome Support Vector Machine Algorithms Bacteria
View on PubMed DOI

TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments.

Bioinformatics (Oxford, England) Aug 15, 2020
MOTIVATION: Identifying compound-protein interaction (CPI) is a crucial task in drug discovery and chemogenomics studies, and proteins without three-dimensional structure account for a large part of potential biological targets, which requires develo...
Amino Acid Sequence Ligands Deep Learning Neural Networks, Computer Proteins
View on PubMed DOI

Protein-protein interaction site prediction through combining local and global features with deep neural networks.

Bioinformatics (Oxford, England) Feb 15, 2020
MOTIVATION: Protein-protein interactions (PPIs) play important roles in many biological processes. Conventional biological experiments for identifying PPI sites are costly and time-consuming. Thus, many computational approaches have been proposed to ...
Neural Networks, Computer Protein Interaction Domains and Motifs Software Proteins Amino Acid Sequence
View on PubMed DOI

MUFold-SSW: a new web server for predicting protein secondary structures, torsion angles and turns.

Bioinformatics (Oxford, England) Feb 15, 2020
MOTIVATION: Protein secondary structure and backbone torsion angle prediction can provide important information for predicting protein 3D structures and protein functions. Our new methods MUFold-SS, MUFold-Angle, MUFold-BetaTurn and MUFold-GammaTurn,...
Computers Amino Acid Sequence Neural Networks, Computer Proteins Protein Structure, Secondary
View on PubMed DOI

Improvement in prediction of antigenic epitopes using stacked generalisation: an ensemble approach.

IET systems biology Feb 1, 2020
The major intent of peptide vaccine designs, immunodiagnosis and antibody productions is to accurately identify linear B-cell epitopes. The determination of epitopes through experimental analysis is highly expensive. Therefore, it is desirable to dev...
Models, Statistical Antibodies Amino Acid Sequence Vaccines Humans Computational Biology Machine Learning Support Vector Machine Algorithms Drug Design Epitopes, B-Lymphocyte
View on PubMed DOI

DeepGOPlus: improved protein function prediction from sequence.

Bioinformatics (Oxford, England) Jan 15, 2020
MOTIVATION: Protein function prediction is one of the major tasks of bioinformatics that can help in wide range of biological problems such as understanding disease mechanisms or finding drug targets. Many methods are available for predicting protein...
Neural Networks, Computer Proteins Protein Interaction Maps Amino Acid Sequence
View on PubMed DOI
Popular Topics
Recent Journals