AIMC Topic: Amino Acid Sequence

Clear Filters Showing 131 to 140 of 694 articles

More than just pattern recognition: Prediction of uncommon protein structure features by AI methods.

Proceedings of the National Academy of Sciences of the United States of America Jul 3, 2023
The CASP14 experiment demonstrated the extraordinary structure modeling capabilities of artificial intelligence (AI) methods. That result has ignited a fierce debate about what these methods are actually doing. One of the criticisms has been that the...
Neural Networks, Computer Artificial Intelligence Protein Conformation Protein Structure, Secondary Amino Acid Sequence Proteins
View on PubMed DOI

Finding functional motifs in protein sequences with deep learning and natural language models.

Current opinion in structural biology Jun 28, 2023
Recently, prediction of structural/functional motifs in protein sequences takes advantage of powerful machine learning based approaches. Protein encoding adopts protein language models overpassing standard procedures. Different combinations of machin...
Amino Acid Sequence Machine Learning Deep Learning Proteins
View on PubMed DOI

A Comprehensive Survey of Deep Learning Techniques in Protein Function Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Jun 5, 2023
Protein function prediction is a major challenge in the field of bioinformatics which aims at predicting the functions performed by a known protein. Many protein data forms like protein sequences, protein structures, protein-protein interaction netwo...
Computational Biology Amino Acid Sequence Proteins Neural Networks, Computer Deep Learning
View on PubMed DOI

Lite-SeqCNN: A Light-Weight Deep CNN Architecture for Protein Function Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Jun 5, 2023
The short-and-long range interactions amongst amino-acids in a protein sequence are primarily responsible for the function performed by the protein. Recently convolutional neural network (CNN)s have produced promising results on sequential data inclu...
Databases, Factual Proteins Neural Networks, Computer Amino Acid Sequence Amino Acids
View on PubMed DOI

BRMCF: Binary Relevance and MLSMOTE Based Computational Framework to Predict Drug Functions From Chemical and Biological Properties of Drugs.

IEEE/ACM transactions on computational biology and bioinformatics Jun 5, 2023
In silico machine learning based prediction of drug functions considering the drug properties would substantially enhance the speed and reduce the cost of identifying promising drug leads. The drug function prediction capability of different drug pro...
Neural Networks, Computer Machine Learning Drug Discovery Algorithms Amino Acid Sequence
View on PubMed DOI

Prediction of transport proteins from sequence information with the deep learning approach.

Computers in biology and medicine Apr 27, 2023
Transport proteins (TPs) are vital to the growth and life of all living things, especially in fields of microbial pathogenesis and drug resistance of tumor cells. Accurately identifying potential TPs remains an important challenge for the advancement...
Deep Learning Carrier Proteins Neural Networks, Computer Amino Acid Sequence Databases, Protein
View on PubMed DOI

An accessible infrastructure for artificial intelligence using a Docker-based JupyterLab in Galaxy.

GigaScience Apr 26, 2023
BACKGROUND: Artificial intelligence (AI) programs that train on large datasets require powerful compute infrastructure consisting of several CPU cores and GPUs. JupyterLab provides an excellent framework for developing AI programs, but it needs to be...
Software Amino Acid Sequence Neural Networks, Computer Humans COVID-19 Artificial Intelligence
View on PubMed DOI

Do "Newly Born" orphan proteins resemble "Never Born" proteins? A study using three deep learning algorithms.

Proteins Apr 24, 2023
"Newly Born" proteins, devoid of detectable homology to any other proteins, known as orphan proteins, occur in a single species or within a taxonomically restricted gene family. They are generated by the expression of novel open reading frames, and a...
Algorithms Amino Acid Sequence Proteins Deep Learning Amino Acids
View on PubMed DOI

Exploiting conformational dynamics to modulate the function of designed proteins.

Proceedings of the National Academy of Sciences of the United States of America Apr 24, 2023
With the recent success in calculating protein structures from amino acid sequences using artificial intelligence-based algorithms, an important next step is to decipher how dynamics is encoded by the primary protein sequence so as to better predict ...
Ligands Artificial Intelligence Protein Conformation Proteins Amino Acid Sequence Peptides
View on PubMed DOI

Novel machine learning method allerStat identifies statistically significant allergen-specific patterns in protein sequences.

The Journal of biological chemistry Apr 21, 2023
Cutting-edge technologies such as genome editing and synthetic biology allow us to produce novel foods and functional proteins. However, their toxicity and allergenicity must be accurately evaluated. It is known that specific amino acid sequences in ...
Allergens Machine Learning Amino Acid Sequence Proteins
View on PubMed DOI
Popular Topics
Recent Journals