AIMC Topic: Protein Structure, Secondary

Clear Filters Showing 121 to 130 of 149 articles

NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning.

Nucleic acids research Jul 5, 2022
Recent advances in machine learning and natural language processing have made it possible to profoundly advance our ability to accurately predict protein structures and their functions. While such improvements are significantly impacting the fields o...
Proteins Natural Language Processing Deep Learning Time Factors Solvents Datasets as Topic Protein Structure, Secondary Internet Amino Acid Sequence Software Computers
View on PubMed DOI

SSpro/ACCpro 6: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, deep learning and structural similarity.

Bioinformatics (Oxford, England) Mar 28, 2022
MOTIVATION: Accurately predicting protein secondary structure and relative solvent accessibility is important for the study of protein evolution, structure and an early-stage component of typical protein 3D structure prediction pipelines.
Solvents Protein Structure, Secondary Deep Learning Proteins Software
View on PubMed DOI

CoCoPRED: coiled-coil protein structural feature prediction from amino acid sequence using deep neural networks.

Bioinformatics (Oxford, England) Jan 12, 2022
MOTIVATION: Coiled-coil is composed of two or more helices that are wound around each other. It widely exists in proteins and has been discovered to play a variety of critical roles in biology processes. Generally, there are three types of structural...
Protein Domains Amino Acid Sequence Neural Networks, Computer Proteins Protein Structure, Secondary
View on PubMed DOI

Predicting RNA Secondary Structure Using In Vitro and In Vivo Data.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
The new flow of high-throughput RNA secondary structure data coming from different techniques allowed the further development of machine learning approaches. We developed CROSS and CROSSalive, two algorithms trained on experimental data able to predi...
Machine Learning RNA Neural Networks, Computer Protein Structure, Secondary
View on PubMed DOI

PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture.

Briefings in bioinformatics Nov 5, 2021
The prediction of peptide secondary structures is fundamentally important to reveal the functional mechanisms of peptides with potential applications as therapeutic molecules. In this study, we propose a multi-view deep learning method named Peptide ...
Algorithms Deep Learning Reproducibility of Results Databases, Protein Protein Structure, Secondary Computational Biology Peptides Models, Molecular Web Browser
View on PubMed DOI

EMNUSS: a deep learning framework for secondary structure annotation in cryo-EM maps.

Briefings in bioinformatics Nov 5, 2021
Cryo-electron microscopy (cryo-EM) has become one of important experimental methods in structure determination. However, despite the rapid growth in the number of deposited cryo-EM maps motivated by advances in microscopy instruments and image proces...
Databases, Genetic Models, Molecular Cryoelectron Microscopy Protein Structure, Secondary Deep Learning Computational Biology Software Algorithms
View on PubMed DOI

AI-based spectroscopic monitoring of real-time interactions between SARS-CoV-2 and human ACE2.

Proceedings of the National Academy of Sciences of the United States of America Jun 29, 2021
The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), invades a human cell via human angiotensin-converting enzyme 2 (hACE2) as the entry, causing the severe coronavirus disease (COVID-19). The interactions between hACE...
Angiotensin-Converting Enzyme 2 Spectrophotometry, Infrared Protein Structure, Secondary Spike Glycoprotein, Coronavirus Humans Kinetics SARS-CoV-2 Machine Learning Protein Binding
View on PubMed DOI

A Tour of Unsupervised Deep Learning for Medical Image Analysis.

Current medical imaging Jan 1, 2021
BACKGROUND: Interpretation of medical images for the diagnosis and treatment of complex diseases from high-dimensional and heterogeneous data remains a key challenge in transforming healthcare. In the last few years, both supervised and unsupervised ...
Algorithms Protein Structure, Secondary Humans Deep Learning Image Processing, Computer-Assisted Unsupervised Machine Learning
View on PubMed DOI

Variable Length Character N-Gram Embedding of Protein Sequences for Secondary Structure Prediction.

Protein and peptide letters Jan 1, 2021
BACKGROUND: The prediction of a protein's secondary structure from its amino acid sequence is an essential step towards predicting its 3-D structure. The prediction performance improves by incorporating homologous multiple sequence alignment informat...
Proteins Databases, Protein Deep Learning Protein Structure, Secondary Sequence Analysis, Protein
View on PubMed DOI

OPUS-TASS: a protein backbone torsion angles and secondary structure predictor based on ensemble neural networks.

Bioinformatics (Oxford, England) Dec 22, 2020
MOTIVATION: Predictions of protein backbone torsion angles (ϕ and ψ) and secondary structure from sequence are crucial subproblems in protein structure prediction. With the development of deep learning approaches, their accuracies have been significa...
Protein Structure, Secondary Neural Networks, Computer Proteins
View on PubMed DOI
Popular Topics
Recent Journals