Results 71 to 80 of about 257,655 (321)

A method for WD40 repeat detection and secondary structure prediction. [PDF]

PLoS ONE, 2013
WD40-repeat proteins (WD40s), as one of the largest protein families in eukaryotes, play vital roles in assembling protein-protein/DNA/RNA complexes. WD40s fold into similar β-propeller structures despite diversified sequences.
Yang Wang, Fan Jiang, Zhu Zhuo, Xian-Hui Wu, Yun-Dong Wu   +4 more
doaj   +1 more source

How good are predictions of protein secondary structure?

FEBS Letters, 1983
The three most widely used methods for the prediction of protein secondary structure from the amino acid sequence are tested on 62 proteins of known structure using a program package and data collection not previously available. None of these methods predicts better than 56% of the residues correctly, for a three state model (helix, sheet and loop ...
Kabsch, W., Sander, C.
openaire   +4 more sources

Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks

Bioinform., 2018
Motivation Sequence-based prediction of one dimensional structural properties of proteins has been a long-standing subproblem of protein structure prediction.
Jack Hanson, K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou   +4 more
semanticscholar   +1 more source

B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses

FEBS Letters, EarlyView.
B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro, Marco Cellani, Cristina Scielzo   +2 more
wiley   +1 more source

DeepPrime2Sec: Deep Learning for Protein Secondary Structure Prediction from the Primary Sequences

bioRxiv, 2019
Motivation Here we investigate deep learning-based prediction of protein secondary structure from the protein primary sequence. We study the function of different features in this task, including one-hot vectors, biophysical features, protein sequence ...
Ehsaneddin Asgari, Nina Poerner, A. Mchardy, M. R. Mofrad   +3 more
semanticscholar   +1 more source

Insights into pegRNA design from editing of the cardiomyopathy‐associated phospholamban R14del mutation

FEBS Letters, EarlyView.
This study reveals how prime editing guide RNA (pegRNA) secondary structure and reverse transcriptase template length affect prime editing efficiency in correcting the phospholamban R14del cardiomyopathy‐associated mutation. Insights support the design of structurally optimized enhanced pegRNAs for precise gene therapy.
Bing Yao, Qiangbing Yang, Christian J.B. Snijders Blok, Mark A. Daniels, Pieter A. Doevendans, Raymond Schiffelers, Joost P.G. Sluijter, Zhiyong Lei   +7 more
wiley   +1 more source

Aligning Protein Sequences with Predicted Secondary Structure [PDF]

Journal of Computational Biology, 2010
Accurately aligning distant protein sequences is notoriously difficult. Since the amino acid sequence alone often does not provide enough information to obtain accurate alignments under the standard alignment scoring functions, a recent approach to improving alignment accuracy is to use additional information such as secondary structure.
Travis J. Wheeler, Eagu Kim, Eagu Kim, John Kececioglu   +3 more
openaire   +3 more sources

Single‐cell insights into the role of T cells in B‐cell malignancies

FEBS Letters, EarlyView.
Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley   +1 more source

A dynamic Bayesian network approach to protein secondary structure prediction

BMC Bioinformatics, 2008
Background Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful information relevant to sequence-structure relationship.
Zhu Huaiqiu, Yao Xin-Qiu, She Zhen-Su
doaj   +1 more source

Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells

Molecular Oncology, Volume 19, Issue 7, Page 1979-1997, July 2025.
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi, Jérome Vialaret, Christophe Hirtz, Catherine Alix‐Panabières   +3 more
wiley   +1 more source