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Advancements in one-dimensional protein structure prediction using machine learning and deep learning. [PDF]

Comput Struct Biotechnol J
Alanazi W, Meng D, Pollastri G.
europepmc   +1 more source

OPUS-BFactor: Predicting Protein B-Factor with Sequence and Structure Information. [PDF]

Molecules
Yang Y, Lv Y, Luo Z, Wang Q, Xu G, Ma J.
europepmc   +1 more source

Development of a candidate mRNA vaccine based on Multi-Peptide targeting VP4 of rotavirus A: an immunoinformatics and molecular dynamics approach. [PDF]

Sci Rep
Aram C, Karami L, Ranjbar MM.
europepmc   +1 more source

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Protein secondary structure prediction

Current Opinion in Structural Biology, 1995
The past year has seen a consolidation of protein secondary structure prediction methods. The advantages of prediction from an aligned family of proteins have been highlighted by several accurate predictions made 'blind', before any X-ray or NMR structure was known for the family.
Jiri Novotny, William J. Metzler, Stanley R. Krystek   +2 more
openaire   +7 more sources

IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction

Proteins: Structure, Function, and Bioinformatics, 2021
There is a close relationship between the tertiary structure and the function of a protein. One of the important steps to determine the tertiary structure is protein secondary structure prediction (PSSP).
Yasin Görmez, Mostafa Sabzekar, Z. Aydın   +2 more
semanticscholar   +1 more source

SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning

Bioinform., 2021
MOTIVATION Knowing protein secondary and other one-dimensional structural properties are essential for accurate protein structure and function prediction.
Jaspreet Singh, Thomas Litfin, K. Paliwal, Jaswinder Singh, Anil Kumar Hanumanthappa, Yaoqi Zhou   +5 more
semanticscholar   +1 more source

Protein secondary structure prediction based on position-specific scoring matrices.

Journal of Molecular Biology, 1999
A two-stage neural network has been used to predict protein secondary structure based on the position specific scoring matrices generated by PSI-BLAST. Despite the simplicity and convenience of the approach used, the results are found to be superior to ...
David C. Jones
semanticscholar   +1 more source