FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2900078410> ?p ?o ?g. }

• W2900078410 endingPage "2376" @default.
• W2900078410 startingPage "2369" @default.
• W2900078410 abstract "Recognizing the widespread existence of intrinsically disordered regions in proteins spurred the development of computational techniques for their detection. All existing techniques can be classified into methods relying on single-sequence information and those relying on evolutionary sequence profiles generated from multiple-sequence alignments. The methods based on sequence profiles are, in general, more accurate because the presence or absence of conserved amino acid residues in a protein sequence provides important information on the structural and functional roles of the residues. However, the wide applicability of profile-based techniques is limited by time-consuming calculation of sequence profiles. Here we demonstrate that the performance gap between profile-based techniques and single-sequence methods can be reduced by using an ensemble of deep recurrent and convolutional neural networks that allow whole-sequence learning. In particular, the single-sequence method (called SPOT-Disorder-Single) is more accurate than SPOT-Disorder (a profile-based method) for proteins with few homologous sequences and comparable for proteins in predicting long-disordered regions. The method performance is robust across four independent test sets with different amounts of short- and long-disordered regions. SPOT-Disorder-Single is available as a Web server and as a standalone program at http://sparks-lab.org/jack/server/SPOT-Disorder-Single ." @default.
• W2900078410 created "2018-11-16" @default.
• W2900078410 creator A5032724151 @default.
• W2900078410 creator A5046089538 @default.
• W2900078410 creator A5066694098 @default.
• W2900078410 date "2018-11-05" @default.
• W2900078410 modified "2023-10-06" @default.
• W2900078410 title "Accurate Single-Sequence Prediction of Protein Intrinsic Disorder by an Ensemble of Deep Recurrent and Convolutional Architectures" @default.
• W2900078410 cites W1534477342 @default.
• W2900078410 cites W1969067576 @default.
• W2900078410 cites W1977726639 @default.
• W2900078410 cites W1982714879 @default.
• W2900078410 cites W1989511016 @default.
• W2900078410 cites W2001297798 @default.
• W2900078410 cites W2002745879 @default.
• W2900078410 cites W2003561135 @default.
• W2900078410 cites W2006192061 @default.
• W2900078410 cites W2008693552 @default.
• W2900078410 cites W2014776147 @default.
• W2900078410 cites W2036887984 @default.
• W2900078410 cites W2049476357 @default.
• W2900078410 cites W2051210555 @default.
• W2900078410 cites W2055193239 @default.
• W2900078410 cites W2060592742 @default.
• W2900078410 cites W2064675550 @default.
• W2900078410 cites W2069700014 @default.
• W2900078410 cites W2070496155 @default.
• W2900078410 cites W2076052898 @default.
• W2900078410 cites W2097891553 @default.
• W2900078410 cites W2105629164 @default.
• W2900078410 cites W2109553965 @default.
• W2900078410 cites W2117640066 @default.
• W2900078410 cites W2118608964 @default.
• W2900078410 cites W2129170338 @default.
• W2900078410 cites W2131774270 @default.
• W2900078410 cites W2131965976 @default.
• W2900078410 cites W2135293965 @default.
• W2900078410 cites W2143210482 @default.
• W2900078410 cites W2144252381 @default.
• W2900078410 cites W2147209844 @default.
• W2900078410 cites W2152282874 @default.
• W2900078410 cites W2156407548 @default.
• W2900078410 cites W2156465034 @default.
• W2900078410 cites W2157825442 @default.
• W2900078410 cites W2158698691 @default.
• W2900078410 cites W2158714788 @default.
• W2900078410 cites W2169802764 @default.
• W2900078410 cites W2194775991 @default.
• W2900078410 cites W2253998456 @default.
• W2900078410 cites W2294611355 @default.
• W2900078410 cites W2302255633 @default.
• W2900078410 cites W2510934692 @default.
• W2900078410 cites W2558841060 @default.
• W2900078410 cites W2566370974 @default.
• W2900078410 cites W2571643507 @default.
• W2900078410 cites W2574496196 @default.
• W2900078410 cites W2621897082 @default.
• W2900078410 cites W2755096271 @default.
• W2900078410 cites W2755742163 @default.
• W2900078410 cites W2762448613 @default.
• W2900078410 cites W2766736793 @default.
• W2900078410 cites W2767649956 @default.
• W2900078410 cites W2799163714 @default.
• W2900078410 cites W2806884808 @default.
• W2900078410 cites W2808950571 @default.
• W2900078410 cites W2887475847 @default.
• W2900078410 cites W2898320067 @default.
• W2900078410 cites W2964159616 @default.
• W2900078410 doi "https://doi.org/10.1021/acs.jcim.8b00636" @default.
• W2900078410 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30395465" @default.
• W2900078410 hasPublicationYear "2018" @default.
• W2900078410 type Work @default.
• W2900078410 sameAs 2900078410 @default.
• W2900078410 citedByCount "63" @default.
• W2900078410 countsByYear W29000784102019 @default.
• W2900078410 countsByYear W29000784102020 @default.
• W2900078410 countsByYear W29000784102021 @default.
• W2900078410 countsByYear W29000784102022 @default.
• W2900078410 countsByYear W29000784102023 @default.
• W2900078410 crossrefType "journal-article" @default.
• W2900078410 hasAuthorship W2900078410A5032724151 @default.
• W2900078410 hasAuthorship W2900078410A5046089538 @default.
• W2900078410 hasAuthorship W2900078410A5066694098 @default.
• W2900078410 hasBestOaLocation W29000784102 @default.
• W2900078410 hasConcept C10010492 @default.
• W2900078410 hasConcept C104317684 @default.
• W2900078410 hasConcept C108583219 @default.
• W2900078410 hasConcept C110875604 @default.
• W2900078410 hasConcept C11392498 @default.
• W2900078410 hasConcept C117745874 @default.
• W2900078410 hasConcept C136764020 @default.
• W2900078410 hasConcept C153180895 @default.
• W2900078410 hasConcept C154945302 @default.
• W2900078410 hasConcept C167625842 @default.
• W2900078410 hasConcept C2778112365 @default.
• W2900078410 hasConcept C2778815515 @default.
• W2900078410 hasConcept C41008148 @default.
• W2900078410 hasConcept C45942800 @default.

• next