[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 …
Natural product drug discovery in the artificial intelligence era
Natural products (NPs) are primarily recognized as privileged structures to interact with
protein drug targets. Their unique characteristics and structural diversity continue to marvel …
protein drug targets. Their unique characteristics and structural diversity continue to marvel …
Information retrieval and text mining technologies for chemistry
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
Network medicine in the age of biomedical big data
Network medicine is an emerging area of research dealing with molecular and genetic
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts
Across academia and industry, text mining has become a popular strategy for kee** up
with the rapid growth of the scientific literature. Text mining of the scientific literature has …
with the rapid growth of the scientific literature. Text mining of the scientific literature has …
The ocean sampling day consortium
Abstract Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial
Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine …
Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine …
Protein sequence classification through deep learning and encoding strategies
Protein sequence classification is vital for understanding protein functionalities, aiding in the
inference of novel protein functions. Machine learning and deep learning algorithms have …
inference of novel protein functions. Machine learning and deep learning algorithms have …
Past and future uses of text mining in ecology and evolution
Ecology and evolutionary biology, like other scientific fields, are experiencing an
exponential growth of academic manuscripts. As domain knowledge accumulates, scientists …
exponential growth of academic manuscripts. As domain knowledge accumulates, scientists …
Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future
Abstract “Α picture is worth a thousand words.” This widely used adage sums up in a few
words the notion that a successful visual representation of a concept should enable easy …
words the notion that a successful visual representation of a concept should enable easy …
Exploring protein-protein interactions at the proteome level
Proteins are central to all of the processes of life. For their activity, they almost invariably
need to interact with other macromolecules, be they nucleic acids, membranes, glycans, or …
need to interact with other macromolecules, be they nucleic acids, membranes, glycans, or …