Protein stability is a fundamental prerequisite in both experimental and therapeutic
applications. Current advancements in high throughput experimental techniques and …

In the protein universe, many proteins are composed of two or more polypeptide chains,
generally referred to as subunits, which associate through noncovalent interactions and …

Background This paper deals with the preprocessing of protein sequences for supervised
classification. Motif extraction is one way to address that task. It has been largely used to …

Background Metabolic pathway is a highly regulated network consisting of many metabolic
reactions involving substrates, enzymes, and products, where substrates can be transformed …

Classification for enzymes is a prerequisite for understanding their function. Here, an
automatic enzyme identifier based on support vector machine (SVM) with feature vectors …

Proteins represent the most important class of biomolecules in living organisms. They carry
out majority of the cellular processes and act as structural constituents, catalysis agents …

Transcription factor binds to sequence specific sites in regulatory region to control nearby
gene's expression. It is termed as the major regulator of transcription. However, identifying …

Abstract Background Transcription factors (TFs) are core functional proteins which play
important roles in gene expression control, and they are key factors for gene regulation …

蛋白质对食品的色, 香, 味及组织结构等具有重要意义. 近年来, 越来越多的研究发现蛋白质的
力学性质有助于改善食品的营养, 风味, 口感, 质地. 本文综述了食品中蛋白质的力学性质及其 …

The paper proposes classification of protein sequences using K-Nearest Neighbor (KNN)
algorithm. Motif extraction method N-gram is used to encode biological sequences into …