Results 81 to 90 of about 214,637 (252)
Discover Applied SciencesPredicting protein secondary structure is essential for understanding protein function, folding mechanisms, and drug discovery applications. Although recent deep learning models, particularly those based on transformer architectures, have improved ...
Diganta Das Droba +4 more
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Critical Features of Fragment Libraries for Protein Structure Prediction.
PLoS ONE, 2017 The use of fragment libraries is a popular approach among protein structure prediction methods and has proven to substantially improve the quality of predicted structures.
Raphael Trevizani +3 more
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Impact of residue accessible surface area on the prediction of protein secondary structures
BMC Bioinformatics, 2008 Background The problem of accurate prediction of protein secondary structure continues to be one of the challenging problems in Bioinformatics. It has been previously suggested that amino acid relative solvent accessibility (RSA) might be an effective ...
Sadeghi Mehdi +3 more
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Molecular Oncology, EarlyView.This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi +6 more
wiley +1 more source
Secondary structure predictions for silkmoth chorion proteins
Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology, 1982 The complete primary structure of many silkmoth chorion proteins is now known. These proteins are products of two major multigene families, A and B. Here we predict the secondary structure of representative A and B chorion proteins, using six different predictive methods. In both families of proteins 0-sheet structure predominates.
HAMODRAKAS, SJ, JONES, CW, KAFATOS, FC
openaire +2 more sources
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
BMC Bioinformatics, 2006 Background The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algorithms: Single-sequence prediction algorithms imply that information about ...
Borodovsky Mark +2 more
doaj +1 more source
Molecular Oncology, EarlyView.We show that emergence of castration‐resistant prostate (CRPC) is associated with significant upregulation of cyclins that positively regulate cyclin‐dependent kinase 2 (CDK2) and concomitant downregulation of CDK4 cyclins. This renders CRPC cells dependent on the high activity of CDK2, and CDK2 inhibitors synergistically sensitize CRPC cells to both ...
Joyeeta Chatterjee +3 more
wiley +1 more source
The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer
Molecular Oncology, EarlyView.Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad +2 more
wiley +1 more source
A Bi-LSTM Based Ensemble Algorithm for Prediction of Protein Secondary Structure
Applied Sciences, 2019 The prediction of protein secondary structure continues to be an active area of research in bioinformatics. In this paper, a Bi-LSTM based ensemble model is developed for the prediction of protein secondary structure.
Hailong Hu +3 more
doaj +1 more source
AttSec: protein secondary structure prediction by capturing local patterns from attention map. [PDF]
BMC Bioinformatics, 2023 Kim Y, Kwon J.
europepmc +1 more source