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Granular Approach for Protein Sequence Analysis

2012
Granular computing uses granules as basic units to compute with. Granules can be formed by either information abstraction or information decomposition. In this paper, we view information decomposition as a paradigm for processing data with complex structures.
Ying Xie 0001   +4 more
openaire   +1 more source

Sequence analysis of expressed proteins

1999
Abstract The generation of recombinant proteins may be considered a relatively facile process nowadays. The wide range of expression systems available, and the marketing of specialized molecular biological kits by a number of manufacturers, virtually ensure that reasonable quantities of recombinant proteins can be produced in most ...
Jeff N Keen, Alison E Ashcroft
openaire   +1 more source

Protein sequence analysis

2023
Deepak Sharma, Abhishek Chaudhary
openaire   +1 more source

Sequence Analysis by Numbers: Proteins

Polymer-Plastics Technology and Engineering, 1996
Abstract As a number code to the protein sequence language, the amino acid numbers (z) derived previously (1, 25, 45, and 17 prime numbers smaller than 64) are used to characterize oligopeptide motifs. The grammatical rule of this language is expressed with two theorems governing the collective properties of oligopeptides.
openaire   +1 more source

Pitfalls of protein sequence analysis

Current Opinion in Biotechnology, 1996
B, Rost, A, Valencia
openaire   +2 more sources

Expanding functional protein sequence spaces using generative adversarial networks

Nature Machine Intelligence, 2021
Vykintas Jauniskis   +2 more
exaly  

Word embeddings for protein sequence analysis

2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2023
Ana Marta Sequeira   +2 more
openaire   +1 more source

Protein Sequence Analysis

2007
Jun Wada, Hiroko Tada, Masaharu Seno
openaire   +2 more sources

Sequence representation approaches for sequence-based protein prediction tasks that use deep learning

Briefings in Functional Genomics, 2021
Feifei Cui, Zilong Zhang, Quan Zou
exaly  

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