As the first step of machine-learning based protein structure and function prediction, the
amino acid encoding play a fundamental role in the final success of those methods. Different …

We introduce a new representation and feature extraction method for biological sequences.
Named bio-vectors (BioVec) to refer to biological sequences in general with protein-vectors …

Background High-throughput transcriptome sequencing (RNA-seq) technology promises to
discover novel protein-coding and non-coding transcripts, particularly the identification of …

The hard clam Meretrix meretrix, which has been traditionally used as medicine and
seafood, was used in this study to isolate antioxidant peptides. First, a peptide-rich extract …

DNA/single-wall carbon nanotube (SWCNT) hybrids have enabled many applications
because of their special ability to disperse and sort SWCNTs by their chirality and …

Subcellular localization prediction of the proteome is one of major goals of large-scale
genome or proteome sequencing projects to define the gene functions that could be …

Sucrose synthase (SuSy, EC 2.4. 1.13) is a unique glycosyltransferase (GT) for develo**
cost-effective glycosylation processes. Up to now, some SuSys derived from plants and …

COSMOSAC is a model that allows apriori predictions of activity coefficients for
characterizing solute-solvent interactions. The method requires the input of sigma profile, the …

With the explosive growth in the number of protein sequences generated in the postgenomic
age, research into identifying cytokines from proteins and detecting their biochemical …

Feature embedding methods have been proposed in the literature to represent sequences
as numeric vectors to be used in some bioinformatics investigations, such as family …