FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2001335546> ?p ?o ?g. }

• W2001335546 endingPage "e36634" @default.
• W2001335546 startingPage "e36634" @default.
• W2001335546 abstract "Are extant proteins the exquisite result of natural selection or are they random sequences slightly edited by evolution? This question has puzzled biochemists for long time and several groups have addressed this issue comparing natural protein sequences to completely random ones coming to contradicting conclusions. Previous works in literature focused on the analysis of primary structure in an attempt to identify possible signature of evolutionary editing. Conversely, in this work we compare a set of 762 natural proteins with an average length of 70 amino acids and an equal number of completely random ones of comparable length on the basis of their structural features. We use an ad hoc Evolutionary Neural Network Algorithm (ENNA) in order to assess whether and to what extent natural proteins are edited from random polypeptides employing 11 different structure-related variables (i.e. net charge, volume, surface area, coil, alpha helix, beta sheet, percentage of coil, percentage of alpha helix, percentage of beta sheet, percentage of secondary structure and surface hydrophobicity). The ENNA algorithm is capable to correctly distinguish natural proteins from random ones with an accuracy of 94.36%. Furthermore, we study the structural features of 32 random polypeptides misclassified as natural ones to unveil any structural similarity to natural proteins. Results show that random proteins misclassified by the ENNA algorithm exhibit a significant fold similarity to portions or subdomains of extant proteins at atomic resolution. Altogether, our results suggest that natural proteins are significantly edited from random polypeptides and evolutionary editing can be readily detected analyzing structural features. Furthermore, we also show that the ENNA, employing simple structural descriptors, can predict whether a protein chain is natural or random." @default.
• W2001335546 created "2016-06-24" @default.
• W2001335546 creator A5004541732 @default.
• W2001335546 creator A5046118465 @default.
• W2001335546 creator A5046899009 @default.
• W2001335546 creator A5062549399 @default.
• W2001335546 creator A5079354466 @default.
• W2001335546 date "2012-05-16" @default.
• W2001335546 modified "2023-09-26" @default.
• W2001335546 title "Do Natural Proteins Differ from Random Sequences Polypeptides? Natural vs. Random Proteins Classification Using an Evolutionary Neural Network" @default.
• W2001335546 cites W1551404386 @default.
• W2001335546 cites W1972325703 @default.
• W2001335546 cites W1976557729 @default.
• W2001335546 cites W1979706086 @default.
• W2001335546 cites W1982720588 @default.
• W2001335546 cites W1983754954 @default.
• W2001335546 cites W2004099840 @default.
• W2001335546 cites W2005596839 @default.
• W2001335546 cites W2009068362 @default.
• W2001335546 cites W2015872271 @default.
• W2001335546 cites W2020610175 @default.
• W2001335546 cites W2030517878 @default.
• W2001335546 cites W2031012858 @default.
• W2001335546 cites W2033371754 @default.
• W2001335546 cites W2061011128 @default.
• W2001335546 cites W2094097671 @default.
• W2001335546 cites W2107903949 @default.
• W2001335546 cites W2114568928 @default.
• W2001335546 cites W2115089435 @default.
• W2001335546 cites W2130479394 @default.
• W2001335546 cites W2134279802 @default.
• W2001335546 cites W2137955461 @default.
• W2001335546 cites W2153153865 @default.
• W2001335546 cites W4230932396 @default.
• W2001335546 cites W4247698044 @default.
• W2001335546 doi "https://doi.org/10.1371/journal.pone.0036634" @default.
• W2001335546 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3353917" @default.
• W2001335546 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22615786" @default.
• W2001335546 hasPublicationYear "2012" @default.
• W2001335546 type Work @default.
• W2001335546 sameAs 2001335546 @default.
• W2001335546 citedByCount "23" @default.
• W2001335546 countsByYear W20013355462013 @default.
• W2001335546 countsByYear W20013355462014 @default.
• W2001335546 countsByYear W20013355462015 @default.
• W2001335546 countsByYear W20013355462016 @default.
• W2001335546 countsByYear W20013355462018 @default.
• W2001335546 countsByYear W20013355462019 @default.
• W2001335546 countsByYear W20013355462020 @default.
• W2001335546 countsByYear W20013355462022 @default.
• W2001335546 countsByYear W20013355462023 @default.
• W2001335546 crossrefType "journal-article" @default.
• W2001335546 hasAuthorship W2001335546A5004541732 @default.
• W2001335546 hasAuthorship W2001335546A5046118465 @default.
• W2001335546 hasAuthorship W2001335546A5046899009 @default.
• W2001335546 hasAuthorship W2001335546A5062549399 @default.
• W2001335546 hasAuthorship W2001335546A5079354466 @default.
• W2001335546 hasBestOaLocation W20013355461 @default.
• W2001335546 hasConcept C103278499 @default.
• W2001335546 hasConcept C110121322 @default.
• W2001335546 hasConcept C115961682 @default.
• W2001335546 hasConcept C134306372 @default.
• W2001335546 hasConcept C153180895 @default.
• W2001335546 hasConcept C154945302 @default.
• W2001335546 hasConcept C159149176 @default.
• W2001335546 hasConcept C178300618 @default.
• W2001335546 hasConcept C186515451 @default.
• W2001335546 hasConcept C33923547 @default.
• W2001335546 hasConcept C34349673 @default.
• W2001335546 hasConcept C41008148 @default.
• W2001335546 hasConcept C47701112 @default.
• W2001335546 hasConcept C55493867 @default.
• W2001335546 hasConcept C58773245 @default.
• W2001335546 hasConcept C60644358 @default.
• W2001335546 hasConcept C62614982 @default.
• W2001335546 hasConcept C70721500 @default.
• W2001335546 hasConcept C75268714 @default.
• W2001335546 hasConcept C78458016 @default.
• W2001335546 hasConcept C81917197 @default.
• W2001335546 hasConcept C86803240 @default.
• W2001335546 hasConceptScore W2001335546C103278499 @default.
• W2001335546 hasConceptScore W2001335546C110121322 @default.
• W2001335546 hasConceptScore W2001335546C115961682 @default.
• W2001335546 hasConceptScore W2001335546C134306372 @default.
• W2001335546 hasConceptScore W2001335546C153180895 @default.
• W2001335546 hasConceptScore W2001335546C154945302 @default.
• W2001335546 hasConceptScore W2001335546C159149176 @default.
• W2001335546 hasConceptScore W2001335546C178300618 @default.
• W2001335546 hasConceptScore W2001335546C186515451 @default.
• W2001335546 hasConceptScore W2001335546C33923547 @default.
• W2001335546 hasConceptScore W2001335546C34349673 @default.
• W2001335546 hasConceptScore W2001335546C41008148 @default.
• W2001335546 hasConceptScore W2001335546C47701112 @default.
• W2001335546 hasConceptScore W2001335546C55493867 @default.
• W2001335546 hasConceptScore W2001335546C58773245 @default.
• W2001335546 hasConceptScore W2001335546C60644358 @default.
• W2001335546 hasConceptScore W2001335546C62614982 @default.
• W2001335546 hasConceptScore W2001335546C70721500 @default.

• next