AIMC Topic: Amino Acid Sequence

Clear Filters Showing 141 to 150 of 694 articles

Identification of DNA-binding proteins by Kernel Sparse Representation via L-matrix norm.

Computers in biology and medicine Apr 11, 2023
An understanding of DNA-binding proteins is helpful in exploring the role that proteins play in cell biology. Furthermore, the prediction of DNA-binding proteins is essential for the chemical modification and structural composition of DNA, and is of ...
Machine Learning Algorithms Support Vector Machine DNA DNA-Binding Proteins Amino Acid Sequence
View on PubMed DOI

Comparison of deep learning models with simple method to assess the problem of antimicrobial peptides prediction.

Molecular informatics Apr 7, 2023
Antibiotic-resistant strains are an emerging threat to public health. The usage of antimicrobial peptides (AMPs) is one of the promising approaches to solve this problem. For the development of new AMPs, it is necessary to have reliable prediction me...
Deep Learning Computational Biology Amino Acid Sequence Antimicrobial Peptides
View on PubMed DOI

Graph-BERT and language model-based framework for protein-protein interaction identification.

Scientific reports Apr 6, 2023
Identification of protein-protein interactions (PPI) is among the critical problems in the domain of bioinformatics. Previous studies have utilized different AI-based models for PPI classification with advances in artificial intelligence (AI) techniq...
Artificial Intelligence Protein Interaction Maps Proteins Amino Acid Sequence Protein Interaction Mapping
View on PubMed DOI

Effectively Identifying Compound-Protein Interaction Using Graph Neural Representation.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
Effectively identifying compound-protein interactions (CPIs) is crucial for new drug design, which is an important step in silico drug discovery. Current machine learning methods for CPI prediction mainly use one-demensional (1D) compound/protein str...
Neural Networks, Computer Machine Learning Drug Discovery Proteins Amino Acid Sequence
View on PubMed DOI

A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
The understanding of protein functions is critical to many biological problems such as the development of new drugs and new crops. To reduce the huge gap between the increase of protein sequences and annotations of protein functions, many methods hav...
Deep Learning Proteins Amino Acid Sequence Gene Ontology
View on PubMed DOI

AttentionDTA: Drug-Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
The identification of drug-target relations (DTRs) is substantial in drug development. A large number of methods treat DTRs as drug-target interactions (DTIs), a binary classification problem. The main drawback of these methods are the lack of reliab...
Deep Learning Drug Development Amino Acid Sequence Binding Sites
View on PubMed DOI

BiComp-DTA: Drug-target binding affinity prediction through complementary biological-related and compression-based featurization approach.

PLoS computational biology Mar 31, 2023
Drug-target binding affinity prediction plays a key role in the early stage of drug discovery. Numerous experimental and data-driven approaches have been developed for predicting drug-target binding affinity. However, experimental methods highly rely...
Neural Networks, Computer Drug Discovery Drug Development Proteins Amino Acid Sequence
View on PubMed DOI

Super High-Throughput Screening of Enzyme Variants by Spectral Graph Convolutional Neural Networks.

Journal of chemical theory and computation Mar 24, 2023
Finding new enzyme variants with the desired substrate scope requires screening through a large number of potential variants. In a typical enzyme engineering workflow, it is possible to scan a few thousands of variants, and gather several candidates...
Neural Networks, Computer Algorithms Amino Acid Sequence High-Throughput Screening Assays
View on PubMed DOI

Evolutionary-scale prediction of atomic-level protein structure with a language model.

Science (New York, N.Y.) Mar 16, 2023
Recent advances in machine learning have leveraged evolutionary information in multiple sequence alignments to predict protein structure. We demonstrate direct inference of full atomic-level protein structure from primary sequence using a large langu...
Machine Learning Evolution, Molecular Proteins Amino Acid Sequence Protein Conformation Sequence Analysis, Protein
View on PubMed DOI

AlphaFold2 and its applications in the fields of biology and medicine.

Signal transduction and targeted therapy Mar 14, 2023
AlphaFold2 (AF2) is an artificial intelligence (AI) system developed by DeepMind that can predict three-dimensional (3D) structures of proteins from amino acid sequences with atomic-level accuracy. Protein structure prediction is one of the most chal...
Artificial Intelligence Proteins Amino Acid Sequence Biology Furylfuramide
View on PubMed DOI
Popular Topics
Recent Journals