[HTML][HTML] The language of proteins: NLP, machine learning & protein sequences
Natural language processing (NLP) is a field of computer science concerned with automated
text and language analysis. In recent years, following a series of breakthroughs in deep and …
text and language analysis. In recent years, following a series of breakthroughs in deep and …
Survey of machine learning techniques in drug discovery
N Stephenson, E Shane, J Chase… - Current drug …, 2019 - ingentaconnect.com
Background: Drug discovery, which is the process of discovering new candidate
medications, is very important for pharmaceutical industries. At its current stage, discovering …
medications, is very important for pharmaceutical industries. At its current stage, discovering …
CATH: increased structural coverage of functional space
Abstract CATH (https://www. cathdb. info) identifies domains in protein structures from
wwPDB and classifies these into evolutionary superfamilies, thereby providing structural and …
wwPDB and classifies these into evolutionary superfamilies, thereby providing structural and …
Structure-based protein function prediction using graph convolutional networks
The rapid increase in the number of proteins in sequence databases and the diversity of
their functions challenge computational approaches for automated function prediction. Here …
their functions challenge computational approaches for automated function prediction. Here …
PredictProtein-predicting protein structure and function for 29 years
Abstract Since 1992 PredictProtein (https://predictprotein. org) is a one-stop online resource
for protein sequence analysis with its main site hosted at the Luxembourg Centre for …
for protein sequence analysis with its main site hosted at the Luxembourg Centre for …
[HTML][HTML] Functional unknomics: Systematic screening of conserved genes of unknown function
The human genome encodes approximately 20,000 proteins, many still uncharacterised. It
has become clear that scientific research tends to focus on well-studied proteins, leading to …
has become clear that scientific research tends to focus on well-studied proteins, leading to …
Deep learning for ECG analysis: Benchmarks and insights from PTB-XL
Electrocardiography (ECG) is a very common, non-invasive diagnostic procedure and its
interpretation is increasingly supported by algorithms. The progress in the field of automatic …
interpretation is increasingly supported by algorithms. The progress in the field of automatic …
Fast genome-wide functional annotation through orthology assignment by eggNOG-mapper
Orthology assignment is ideally suited for functional inference. However, because predicting
orthology is computationally intensive at large scale, and most pipelines are relatively …
orthology is computationally intensive at large scale, and most pipelines are relatively …
DeepGOPlus: improved protein function prediction from sequence
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 …
in wide range of biological problems such as understanding disease mechanisms or finding …
COFACTOR: improved protein function prediction by combining structure, sequence and protein–protein interaction information
The COFACTOR web server is a unified platform for structure-based multiple-level protein
function predictions. By structurally threading low-resolution structural models through the …
function predictions. By structurally threading low-resolution structural models through the …