Matches in SemOpenAlex for { <https://semopenalex.org/work/W2191134648> ?p ?o ?g. }
- W2191134648 endingPage "772" @default.
- W2191134648 startingPage "761" @default.
- W2191134648 abstract "Protein fold recognition is an important step towards solving protein function and tertiary structure prediction problems. Among a wide range of approaches proposed to solve this problem, pattern recognition based techniques have achieved the best results. The most effective pattern recognition-based techniques for solving this problem have been based on extracting evolutionary-based features. Most studies have relied on the Position Specific Scoring Matrix (PSSM) to extract these features. However it is known that profile-profile sequence alignment techniques can identify more remote homologs than sequence-profile approaches like PSIBLAST. In this study we use a profile-profile sequence alignment technique, namely HHblits, to extract HMM profiles. We will show that unlike previous studies, using the HMM profile to extract evolutionary information can significantly enhance the protein fold prediction accuracy. We develop a new pattern recognition based system called HMMFold which extracts HMM based evolutionary information and captures remote homology information better than previous studies. Using HMMFold we achieve up to 93.8% and 86.0% prediction accuracies when the sequential similarity rates are less than 40% and 25%, respectively. These results are up to 10% better than previously reported results for this task. Our results show significant enhancement especially for benchmarks with sequential similarity as low as 25% which highlights the effectiveness of HMMFold to address this problem and its superiority over previously proposed approaches found in the literature. The HMMFold is available online at: http://sparks-lab.org/pmwiki/download/index.php?Download =HMMFold.tar.bz2." @default.
- W2191134648 created "2016-06-24" @default.
- W2191134648 creator A5009103991 @default.
- W2191134648 creator A5023539493 @default.
- W2191134648 creator A5025400322 @default.
- W2191134648 creator A5032724151 @default.
- W2191134648 creator A5040441659 @default.
- W2191134648 creator A5046089538 @default.
- W2191134648 creator A5068034214 @default.
- W2191134648 date "2015-10-01" @default.
- W2191134648 modified "2023-09-23" @default.
- W2191134648 title "Advancing the Accuracy of Protein Fold Recognition by Utilizing Profiles From Hidden Markov Models" @default.
- W2191134648 cites W1541024235 @default.
- W2191134648 cites W1578951231 @default.
- W2191134648 cites W1991002661 @default.
- W2191134648 cites W1996357466 @default.
- W2191134648 cites W1998445752 @default.
- W2191134648 cites W1999828721 @default.
- W2191134648 cites W2008326909 @default.
- W2191134648 cites W2038210560 @default.
- W2191134648 cites W2044370395 @default.
- W2191134648 cites W2046239250 @default.
- W2191134648 cites W2050587358 @default.
- W2191134648 cites W2051210555 @default.
- W2191134648 cites W2051583813 @default.
- W2191134648 cites W2063231296 @default.
- W2191134648 cites W2066507577 @default.
- W2191134648 cites W2070371693 @default.
- W2191134648 cites W2076460489 @default.
- W2191134648 cites W2082667898 @default.
- W2191134648 cites W2085277871 @default.
- W2191134648 cites W2090557416 @default.
- W2191134648 cites W2091169672 @default.
- W2191134648 cites W2092358369 @default.
- W2191134648 cites W2095692770 @default.
- W2191134648 cites W2098884353 @default.
- W2191134648 cites W2104873783 @default.
- W2191134648 cites W2105099387 @default.
- W2191134648 cites W2106141559 @default.
- W2191134648 cites W2106241755 @default.
- W2191134648 cites W2109109045 @default.
- W2191134648 cites W2109268993 @default.
- W2191134648 cites W2110650347 @default.
- W2191134648 cites W2114810949 @default.
- W2191134648 cites W2118347512 @default.
- W2191134648 cites W2119331235 @default.
- W2191134648 cites W2120761436 @default.
- W2191134648 cites W2125463451 @default.
- W2191134648 cites W2131617076 @default.
- W2191134648 cites W2131874821 @default.
- W2191134648 cites W2139774535 @default.
- W2191134648 cites W2145268834 @default.
- W2191134648 cites W2145386692 @default.
- W2191134648 cites W2145541064 @default.
- W2191134648 cites W2146084306 @default.
- W2191134648 cites W2147462290 @default.
- W2191134648 cites W2150661553 @default.
- W2191134648 cites W2150853465 @default.
- W2191134648 cites W2151180344 @default.
- W2191134648 cites W2153187042 @default.
- W2191134648 cites W2153635508 @default.
- W2191134648 cites W2155365779 @default.
- W2191134648 cites W2156909104 @default.
- W2191134648 cites W2157484293 @default.
- W2191134648 cites W2158714788 @default.
- W2191134648 cites W2160672912 @default.
- W2191134648 cites W2161062388 @default.
- W2191134648 cites W2161072217 @default.
- W2191134648 cites W2169280726 @default.
- W2191134648 cites W2330822769 @default.
- W2191134648 cites W1582718051 @default.
- W2191134648 doi "https://doi.org/10.1109/tnb.2015.2457906" @default.
- W2191134648 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26208362" @default.
- W2191134648 hasPublicationYear "2015" @default.
- W2191134648 type Work @default.
- W2191134648 sameAs 2191134648 @default.
- W2191134648 citedByCount "32" @default.
- W2191134648 countsByYear W21911346482015 @default.
- W2191134648 countsByYear W21911346482016 @default.
- W2191134648 countsByYear W21911346482017 @default.
- W2191134648 countsByYear W21911346482018 @default.
- W2191134648 countsByYear W21911346482019 @default.
- W2191134648 countsByYear W21911346482020 @default.
- W2191134648 countsByYear W21911346482021 @default.
- W2191134648 countsByYear W21911346482022 @default.
- W2191134648 crossrefType "journal-article" @default.
- W2191134648 hasAuthorship W2191134648A5009103991 @default.
- W2191134648 hasAuthorship W2191134648A5023539493 @default.
- W2191134648 hasAuthorship W2191134648A5025400322 @default.
- W2191134648 hasAuthorship W2191134648A5032724151 @default.
- W2191134648 hasAuthorship W2191134648A5040441659 @default.
- W2191134648 hasAuthorship W2191134648A5046089538 @default.
- W2191134648 hasAuthorship W2191134648A5068034214 @default.
- W2191134648 hasConcept C10010492 @default.
- W2191134648 hasConcept C103278499 @default.
- W2191134648 hasConcept C104317684 @default.
- W2191134648 hasConcept C115961682 @default.
- W2191134648 hasConcept C119857082 @default.