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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Considering all available non-redundant protein structures across differentstructural classes, present study identified the probabilistic characteristicsthat describe several facets of the occurrence of 3(10) and Pi-helices inproteins. Occurrence profile of 3(10) and Pi-helices revealed that, theirpresence follows Poisson flow on the primary structure; implying that, theiroccurrence profile is rare, random and accidental. Structural class-specificstatistical analyses of sequence intervals between consecutive occurrences of3(10) and Pi-helices revealed that these could be best described by gamma andexponential distributions, across structural classes. Comparative study ofnormalized percentage of non-glycine and non-proline residues in 3(10), Pi andalpha-helices revealed a considerably higher proportion of 3(10) and Pi-helixresidues in disallowed, generous and allowed regions of Ramachandran map. Probeinto these findings in the light of evolution suggested clearly that 3(10) andPi-helices should appropriately be viewed as evolutionary intermediates on longtime scale, for not only the {\alpha}-helical conformation but also for the'turns', equiprobably. Hence, accidental and random nature of occurrences of3(10) and Pi-helices, and their evolutionary non-conservation, could bedescribed and explained from an invariant quantitative framework. Extent ofcorrectness of two previously proposed hypotheses on 3(10) and Pi-helices, havebeen investigated too. Alongside these, a new algorithm to differentiatebetween related sequences is proposed, which reliably studies evolutionarydistance with respect to protein secondary structures.

3-10 and Pi-Helices: Stochastic Events on Sequence Space; Reasons and Implications of their Accidental Occurrences across Protein Universe