AIMC Topic: Amino Acid Sequence

Clear Filters Showing 361 to 370 of 694 articles

Signal-3L 3.0: Improving Signal Peptide Prediction through Combining Attention Deep Learning with Window-Based Scoring.

Journal of chemical information and modeling Jul 1, 2020
Signal peptides play an important role in guiding and transferring transmembrane proteins and secreted proteins. In recent years, with the explosive growth of protein sequences, computationally predicting signal peptides and their cleavage sites from...
Deep Learning Amino Acid Sequence Protein Sorting Signals Neural Networks, Computer Algorithms
View on PubMed DOI

IConMHC: a deep learning convolutional neural network model to predict peptide and MHC-I binding affinity.

Immunogenetics Jun 24, 2020
Tumor-specific neoantigens are mutated self-peptides presented by tumor cell major histocompatibility complex (MHC) molecules and are necessary to elicit host's anti-cancer cytotoxic T cell responses. It could be specifically recognized by neoantigen...
Amino Acid Sequence Alleles Histocompatibility Antigens Class I Peptides Deep Learning Protein Binding Antigens, Neoplasm Databases, Protein Neural Networks, Computer Computer Simulation Reproducibility of Results Humans
View on PubMed DOI

CoRNeA: A Pipeline to Decrypt the Inter-Protein Interfaces from Amino Acid Sequence Information.

Biomolecules Jun 22, 2020
Decrypting the interface residues of the protein complexes provides insight into the functions of the proteins and, hence, the overall cellular machinery. Computational methods have been devised in the past to predict the interface residues using ami...
Amino Acid Sequence Humans Machine Learning Protein Binding Computational Biology Proteins Databases, Protein
View on PubMed DOI

Machine learning-assisted enzyme engineering.

Methods in enzymology Jun 12, 2020
Directed evolution and rational design are powerful strategies in protein engineering to tailor enzyme properties to meet the demands in academia and industry. Traditional approaches for enzyme engineering and directed evolution are often experimenta...
Amino Acid Sequence Protein Engineering Artificial Intelligence High-Throughput Screening Assays Machine Learning Directed Molecular Evolution
View on PubMed DOI

Deep Learning Based Drug Screening for Novel Coronavirus 2019-nCov.

Interdisciplinary sciences, computational life sciences Jun 1, 2020
A novel coronavirus, called 2019-nCoV, was recently found in Wuhan, Hubei Province of China, and now is spreading across China and other parts of the world. Although there are some drugs to treat 2019-nCoV, there is no proper scientific evidence abou...
Humans Pandemics Deep Learning User-Computer Interface Antiviral Agents COVID-19 SARS-CoV-2 Drug Design Structural Homology, Protein Betacoronavirus Pneumonia, Viral Cysteine Endopeptidases Databases, Pharmaceutical Coronavirus 3C Proteases Ligands Catalytic Domain Oligopeptides Viral Nonstructural Proteins Drug Evaluation, Preclinical Models, Molecular Databases, Nucleic Acid Amino Acid Sequence Molecular Dynamics Simulation Sequence Alignment Coronavirus Infections
View on PubMed DOI

LPI-CNNCP: Prediction of lncRNA-protein interactions by using convolutional neural network with the copy-padding trick.

Analytical biochemistry May 23, 2020
Long noncoding RNAs (lncRNAs) play critical roles in many pathological and biological processes, such as post-transcription, cell differentiation and gene regulation. Increasingly more studies have shown that lncRNAs function through mainly interacti...
Humans Neural Networks, Computer RNA-Binding Proteins RNA, Long Noncoding Amino Acid Sequence
View on PubMed DOI

Multifaceted analysis of training and testing convolutional neural networks for protein secondary structure prediction.

PloS one May 6, 2020
Protein secondary structure prediction remains a vital topic with broad applications. Due to lack of a widely accepted standard in secondary structure predictor evaluation, a fair comparison of predictors is challenging. A detailed examination of fac...
Neural Networks, Computer Software Algorithms Deep Learning Proteins Databases, Protein Amino Acids Amino Acid Sequence Protein Structure, Secondary
View on PubMed DOI

Deep Dive into Machine Learning Models for Protein Engineering.

Journal of chemical information and modeling May 5, 2020
Protein redesign and engineering has become an important task in pharmaceutical research and development. Recent advances in technology have enabled efficient protein redesign by mimicking natural evolutionary mutation, selection, and amplification s...
Algorithms Amino Acid Sequence Protein Engineering Neural Networks, Computer Machine Learning
View on PubMed DOI

AFP-LSE: Antifreeze Proteins Prediction Using Latent Space Encoding of Composition of k-Spaced Amino Acid Pairs.

Scientific reports Apr 28, 2020
Species living in extremely cold environments resist the freezing conditions through antifreeze proteins (AFPs). Apart from being essential proteins for various organisms living in sub-zero temperatures, AFPs have numerous applications in different i...
Antifreeze Proteins Amino Acid Sequence Machine Learning Fishes Animals Fish Proteins Computational Biology
View on PubMed DOI

TooT-T: discrimination of transport proteins from non-transport proteins.

BMC bioinformatics Apr 23, 2020
BACKGROUND: Membrane transport proteins (transporters) play an essential role in every living cell by transporting hydrophilic molecules across the hydrophobic membranes. While the sequences of many membrane proteins are known, their structure and fu...
Membrane Transport Proteins Machine Learning Computational Biology Support Vector Machine Amino Acid Sequence
View on PubMed DOI
Popular Topics
Recent Journals