English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Human body consists of lot of cells, each cell consist of DeOxaRibo NucleicAcid (DNA). Identifying the genes from the DNA sequences is a very difficulttask. But identifying the coding regions is more complex task compared to theformer. Identifying the protein which occupy little place in genes is a reallychallenging issue. For understating the genes coding region analysis plays animportant role. Proteins are molecules with macro structure that areresponsible for a wide range of vital biochemical functions, which includesacting as oxygen, cell signaling, antibody production, nutrient transport andbuilding up muscle fibers. Promoter region identification and protein structureprediction has gained a remarkable attention in recent years. Even though thereare some identification techniques addressing this problem, the approximateaccuracy in identifying the promoter region is closely 68% to 72%. We havedeveloped a Cellular Automata based tool build with hybrid multiple attractorcellular automata (HMACA) classifier for protein coding region, promoter regionidentification and protein structure prediction which predicts the protein andpromoter regions with an accuracy of 76%. This tool also predicts the structureof protein with an accuracy of 80%.

HMACA: Towards Proposing a Cellular Automata Based Tool for Protein Coding, Promoter Region Identification and Protein Structure Prediction