Results 31 to 40 of about 1,894,988 (266)

Analysis of protein sequences [PDF]

Genome Biology, 2000
Several programs to predict sequence and structural features of a protein can be run simultaneously on the PredictProtein server.
openaire   +1 more source

Species-specific analysis of protein sequence motifs using mutual information

BMC Bioinformatics, 2005
Background Protein sequence motifs are by definition short fragments of conserved amino acids, often associated with a specific function. Accordingly protein sequence profiles derived from multiple sequence alignments provide an alternative description ...
Weckwerth Wolfram, Keshvari Nima, Hummel Jan, Selbig Joachim   +3 more
doaj   +1 more source

Herding cats: Label-based approaches in protein translocation through nanopore sensors for single-molecule protein sequence analysis

iScience, 2021
Summary: Proteins carry out life's essential functions. Comprehensive proteome analysis technologies are thus required for a full understanding of the operating principles of biological systems. While current proteomics techniques suffer from limitations
Keisuke Motone, Nicolas Cardozo, Jeff Nivala   +2 more
doaj   +1 more source

Combining handcrafted and learned features using deep learning to improve protein-protein interaction prediction performance

Journal of Information and Telecommunication
Understanding protein-protein interactions (PPIs) is essential because knowledge regarding PPIs helps in determining the biochemical functions of organisms. Advances made in machine learning techniques, for example, DeepFE-PPI, GcForest-PPI, and DeepPPI,
Tran Hoai Nhan, Nguyen Phuc Xuan Quynh, Le Anh Phuong   +2 more
doaj   +1 more source

A Protein Sequence Analysis Hardware Accelerator Based on Divergences

International Journal of Reconfigurable Computing, 2012
The Viterbi algorithm is one of the most used dynamic programming algorithms for protein comparison and identification, based on hidden markov Models (HMMs).
Juan Fernando Eusse, Nahri Moreano, Alba Cristina Magalhaes Alves de Melo, Ricardo Pezzuol Jacobi   +3 more
doaj   +1 more source

An Entropy-Based Alignment-Free Mathematical Framework for Protein Sequence Similarity Analysis [PDF]

EPJ Web of Conferences
In this paper, a mathematical, alignment-free framework is proposed for quantifying similarity and dissimilarity among protein sequences using their physicochemical characteristics.
Vijayalakshmi D., Muralidharan M., Rameshwar K.   +2 more
doaj   +1 more source

Sequence and Structure-Based Analysis of Specificity Determinants in Eukaryotic Protein Kinases

Cell Reports, 2021
Summary: Protein kinases lie at the heart of cell-signaling processes and are often mutated in disease. Kinase target recognition at the active site is in part determined by a few amino acids around the phosphoacceptor residue. However, relatively little
David Bradley, Cristina Viéitez, Vinothini Rajeeve, Joel Selkrig, Pedro R. Cutillas, Pedro Beltrao   +5 more
doaj   +1 more source

Genomic landscape of drug binding and pharmacogenetic variation across diverse populations using SNPdrug3D

Nature Communications
One of the promises of precision medicine is to understand and act on inter-individual genetic differences in drug responses. SNPdrug3D contains the complete genomic landscape of missense single nucleotide variants (SNV) across the human proteome and at ...
Ashar J. Malik, Dimitar Kenanov, Cheng-Shoong Chong, Mert Burak Ozturk, Qiqi Wang, Hong-Yun Chang, Maxime Hebrard, Ying Swan Ho, Zhenxun Wang, Vachiranee Limviphuvadh, Jhoann M. T. Miyajima, Srinivasaraghavan Kannan, Roberto Tirado Magallanes, Xueling Sim, Jin Fang Chai, Sonia Davila, Khung Keong Yeo, Khai Pang Leong, Liuh Ling Goh, Neerja Karnani, Johan Gunnar Eriksson, Ching-Yu Cheng, Tien Yin Wong, Marie Loh, Rinkoo Dalan, Chiea Chuen Khor, Guo-Liang Chew, Weng Khong Lim, Joanne Ngeow, John C. Chambers, E. Shyong Tai, Nicolas Bertin, Chris Soon Heng Tan, Judice Koh, Patrick Tan, SG10K_Health Consortium, Chandra S. Verma, Sebastian Maurer-Stroh   +37 more
doaj   +1 more source

Comparison study on k-word statistical measures for protein: From sequence to 'sequence space'

BMC Bioinformatics, 2008
Background Many proposed statistical measures can efficiently compare protein sequence to further infer protein structure, function and evolutionary information. They share the same idea of using k-word frequencies of protein sequences.
Wang Tianming, Dai Qi
doaj   +1 more source

Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall, Emma N. Harrison, Genevieve C. Kendall   +2 more
wiley   +1 more source