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Combining protein evolution and secondary structure [PDF]

open access: yesMolecular Biology and Evolution, 1996
An evolutionary model that combines protein secondary structure and amino acid replacement is introduced. It allows likelihood analysis of aligned protein sequences and does not require the underlying secondary (or tertiary) structures of these sequences to be known.
Jeffrey L. Thorne   +2 more
openaire   +3 more sources

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

MASSP3: A System for Predicting Protein Secondary Structure

open access: yesEURASIP Journal on Advances in Signal Processing, 2006
A system that resorts to multiple experts for dealing with the problem of predicting secondary structures is described, whose performances are comparable to those obtained by other state-of-the-art predictors.
Armano Giuliano   +2 more
doaj   +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

Multistage Combination Classifier Augmented Model for Protein Secondary Structure Prediction

open access: yesFrontiers in Genetics, 2022
In the field of bioinformatics, understanding protein secondary structure is very important for exploring diseases and finding new treatments. Considering that the physical experiment-based protein secondary structure prediction methods are time ...
Xu Zhang   +6 more
doaj   +1 more source

The power of microRNA regulation—insights into immunity and metabolism

open access: yesFEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto   +2 more
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

Identification of novel small molecule inhibitors of ETS transcription factors

open access: yesFEBS Letters, EarlyView.
ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla   +9 more
wiley   +1 more source

Secondary structure specific simpler prediction models for protein backbone angles

open access: yesBMC Bioinformatics, 2022
Motivation Protein backbone angle prediction has achieved significant accuracy improvement with the development of deep learning methods. Usually the same deep learning model is used in making prediction for all residues regardless of the categories of ...
M. A. Hakim Newton   +3 more
doaj   +1 more source

Protein Secondary Structure Prediction With a Reductive Deep Learning Method

open access: yesFrontiers in Bioengineering and Biotechnology, 2021
Protein secondary structures have been identified as the links in the physical processes of primary sequences, typically random coils, folding into functional tertiary structures that enable proteins to involve a variety of biological events in life ...
Zhiliang Lyu   +5 more
doaj   +1 more source

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