Results 51 to 60 of about 5,259,649 (407)

BMC Caller: a webtool to identify and analyze bacterial microcompartment types in sequence data

Biology Direct, 2022
Bacterial microcompartments (BMCs) are protein-based organelles found across the bacterial tree of life. They consist of a shell, made of proteins that oligomerize into hexagonally and pentagonally shaped building blocks, that surrounds enzymes ...
Markus Sutter, Cheryl A. Kerfeld
doaj   +1 more source

Sequence analysis of the genome of the unicellular cyanobacterium Synechocystis sp. strain PCC6803. II. Sequence determination of the entire genome and assignment of potential protein-coding regions.

DNA Research, 1996
The sequence determination of the entire genome of the Synechocystis sp. strain PCC6803 was completed. The total length of the genome finally confirmed was 3,573,470 bp, including the previously reported sequence of 1,003,450 bp from map position 64% to ...
Takakazu, Kaneko, Shusei, Sato, Hirokazu, Kotani, Ayako, Tanaka, Erika, Asamizu, Yasukazu, Nakamura, Nobuyuki, Miyajima, Makoto, Hirosawa, Masahiro, Sugiura, Shigemi, Sasamoto, Takaharu, Kimura, T. Hosouchi, Ai, Matsuno, Akiko, Muraki, Naomi, Nakazaki, Kaoru, Naruo, Satomi, Okumura, Sayaka, Shimpo, Chie, Takeuchi, Tsuyuko, Wada, Watanabe, Manabu, Yamada, Miho, Yasuda, Satoshi, Tabata   +45 more
semanticscholar   +1 more source

Adenovirus type 5 E4 Orf3 protein targets promyelocytic leukaemia (PML) protein nuclear domains for disruption via a sequence in PML isoform II that is predicted as a protein interaction site by bioinformatic analysis [PDF]

, 2009
Human adenovirus type 5 infection causes the disruption of structures in the cell nucleus termed promyelocytic leukaemia (PML) protein nuclear domains or ND10, which contain the PML protein as a critical component. This disruption is achieved through the
Araujo, Beech, Bernardi, Bernardi, Borden, Bourhis, Callaghan, Carvalho, Condemine, Condemine, Dalessio, Doucas, E. Emmott, Evans, Everett, Everett, Everett, Fagioli, Fagioli, Hoppe, Ishov, Janderova-Rossmeislova, Jensen, K. N. Leppard, Kalderon, Kelly, Liu, M. S. Cortese, Mohan, Nevels, Peng, Romero, Salomoni, Scaglioni, Shen, Sternsdorf, Stracker, T. Rich   +37 more
core   +1 more source

Modeling Protein Using Large-scale Pretrain Language Model [PDF]

arXiv, 2021
Protein is linked to almost every life process. Therefore, analyzing the biological structure and property of protein sequences is critical to the exploration of life, as well as disease detection and drug discovery. Traditional protein analysis methods tend to be labor-intensive and time-consuming.
arxiv  

PhosHSGN: Deep Neural Networks Combining Sequence and Protein Spatial Information to Improve Protein Phosphorylation Site Prediction

IEEE Access
Phosphorylation site prediction is one of the key processes in protein post-transcriptional modification. It is an important research direction in the field of bioinformatics and is of great significance for understanding protein function and signal ...
Jiale Lu, Haibin Chen, Ji Qiu
doaj   +1 more source

AlignScape, displaying sequence similarity using self-organizing maps

Frontiers in Bioinformatics
The current richness of sequence data needs efficient methodologies to display and analyze the complexity of the information in a compact and readable manner.
Isaac Filella-Merce, Isaac Filella-Merce, Vincent Mallet, Eric Durand, Michael Nilges, Guillaume Bouvier, Riccardo Pellarin, Riccardo Pellarin   +7 more
doaj   +1 more source

Analysis of protein-coding genetic variation in 60,706 humans

Nature, 2015
Large-scale reference data sets of human genetic variation are critical for the medical and functional interpretation of DNA sequence changes. Here we describe the aggregation and analysis of high-quality exome (protein-coding region) DNA sequence data ...
James Y. Zou
semanticscholar   +1 more source

Predicting diverse M-best protein contact maps

, 2015
Protein contacts contain important information for protein structure and functional study, but contact prediction from sequence information remains very challenging.
Ma, Jianzhu, Sun, Siqi, Wang, Sheng, Xu, Jinbo   +3 more
core   +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

Protein sectors: statistical coupling analysis versus conservation

, 2014
Statistical coupling analysis (SCA) is a method for analyzing multiple sequence alignments that was used to identify groups of coevolving residues termed "sectors".
Colwell, Lucy J., Leibler, Stanislas, Tesileanu, Tiberiu   +2 more
core   +4 more sources