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

Due to the advancements in technology number of entries in the structuraldatabase of proteins are increasing day by day. Methods for retrieving proteintertiary structures from this large database is the key to comparative analysisof structures which plays an important role to understand proteins and theirfunction. In this paper, we present fast and accurate methods for the retrievalof proteins from a large database with tertiary structures similar to a queryprotein. Our proposed methods borrow ideas from the field of computer vision.The speed and accuracy of our methods comes from the two newly introducedfeatures, the co-occurrence matrix of the oriented gradient and pyramidhistogram of oriented gradient and from the use of Euclidean distance as thedistance measure. Experimental results clearly indicate the superiority of ourapproach in both running time and accuracy. Our method is readily available foruse from this website: http://research.buet.ac.bd:8080/Comograd/.

CoMOGrad and PHOG: From Computer Vision to Fast and Accurate Protein Tertiary Structure Retrieval