Protein secondary structure prediction (PSSP) is a fundamental task in protein science and
computational biology, and it can be used to understand protein 3-dimensional (3-D) …

Background Protein secondary structure can be regarded as an information bridge that links
the primary sequence and tertiary structure. Accurate 8-state secondary structure prediction …

Motivation Protein structures provide basic insight into how they can interact with other
proteins, their functions and biological roles in an organism. Experimental methods (eg X …

In biochemistry, the protein structure prediction from the primary sequence is a significant
issue. Few research works are intended for performing protein structure prediction with …

Fiber optic gyroscope (FOG) inertial measurement unit (IMU) containing a three‐orthogonal
gyroscope and three‐orthogonal accelerometer has been widely utilized in positioning and …

Timely and accurate estimation of crop moisture status is important for understanding crop
growth and development. It also provides guidance for irrigation strategies and precision …

The supervised learning of recurrent neural networks well-suited for prediction of protein
secondary structures from the underlying amino acids sequence is studied. Modular …

Motivation: The precise prediction of protein secondary structure is of key importance for the
prediction of 3D structure and biological function. Although the development of many …

Residue solvent accessibility is closely related to the spatial arrangement and packing of
residues. Predicting the solvent accessibility of a protein is an important step to understand …

Protein structure prediction is of great relevance given the abundant genomic and proteomic
data generated by the genome sequencing projects. Protein secondary structure prediction …