Results 51 to 60 of about 1,817,592 (311)

Sixty-five years of the long march in protein secondary structure prediction: the final stretch?

open access: yesBriefings Bioinform., 2016
Protein secondary structure prediction began in 1951 when Pauling and Corey predicted helical and sheet conformations for protein polypeptide backbone even before the first protein structure was determined.
Yuedong Yang   +6 more
semanticscholar   +1 more source

Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia

open access: yesFEBS Letters, EarlyView.
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley   +1 more source

Bayesian model of protein primary sequence for secondary structure prediction. [PDF]

open access: yesPLoS ONE, 2014
Determining the primary structure (i.e., amino acid sequence) of a protein has become cheaper, faster, and more accurate. Higher order protein structure provides insight into a protein's function in the cell. Understanding a protein's secondary structure
Qiwei Li   +4 more
doaj   +1 more source

Protein Secondary Structure Affects Glycan Clustering in Native Mass Spectrometry

open access: yesLife, 2021
Infection by the human noroviruses (hNoV), for the vast majority of strains, requires attachment of the viral capsid to histo blood group antigens (HBGAs).
Hao Yan   +8 more
doaj   +1 more source

RaptorX-Property: a web server for protein structure property prediction

open access: yesNucleic Acids Res., 2016
RaptorX Property (http://raptorx2.uchicago.edu/StructurePropertyPred/predict/) is a web server predicting structure property of a protein sequence without using any templates.
Sheng Wang   +3 more
semanticscholar   +1 more source

Making tau amyloid models in vitro: a crucial and underestimated challenge

open access: yesFEBS Letters, EarlyView.
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley   +1 more source

The cytoskeletal control of B cell receptor and integrin signaling in normal B cells and chronic lymphocytic leukemia

open access: yesFEBS Letters, EarlyView.
In lymphoid organs, antigen recognition and B cell receptor signaling rely on integrins and the cytoskeleton. Integrins act as mechanoreceptors, couple B cell receptor activation to cytoskeletal remodeling, and support immune synapse formation as well as antigen extraction.
Abhishek Pethe, Tanja Nicole Hartmann
wiley   +1 more source

Improved Chou-Fasman method for protein secondary structure prediction

open access: yesBMC Bioinformatics, 2006
Background Protein secondary structure prediction is a fundamental and important component in the analytical study of protein structure and functions. The prediction technique has been developed for several decades.
Huang Zhengge, Gu Fei, Chen Hang
doaj   +1 more source

Autophagy in cancer and protein conformational disorders

open access: yesFEBS Letters, EarlyView.
Autophagy plays a crucial role in numerous biological processes, including protein and organelle quality control, development, immunity, and metabolism. Hence, dysregulation or mutations in autophagy‐related genes have been implicated in a wide range of human diseases.
Sergio Attanasio
wiley   +1 more source

Improved probability graph model for protein secondary structure prediction

open access: yesJournal of Hebei University of Science and Technology, 2016
Protein secondary structure is closely related to protein tertiary structure and function, and became a hot topic in bioinformatics. The probability graph model HMM (Hidden Markov model) is an important tool in this field.
Lingqi ZHAO   +4 more
doaj   +1 more source

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