FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2474880329> ?p ?o ?g. }

• W2474880329 endingPage "614" @default.
• W2474880329 startingPage "606" @default.
• W2474880329 abstract "Abstract We present an adaptive neural network model for chemical data classification. The method uses an evolutionary algorithm for optimizing the network structure by seeking sparsely connected architectures. The number of hidden layers, the number of neurons in each layer and their connectivity are free variables of the system. We used the method for predicting antimicrobial peptide activity from the amino acid sequence. Visualization of the evolved sparse network structures suggested a high charge density and a low aggregation potential in solution as beneficial for antimicrobial activity. However, different training data sets and peptide representations resulted in greatly varying network structures. Overall, the sparse network models turned out to be less accurate than fully‐connected networks. In a prospective application, we synthesized and tested 10 de novo generated peptides that were predicted to either possess antimicrobial activity, or to be inactive. Two of the predicted antibacterial peptides showed cosiderable bacteriostatic effects against both Staphylococcus aureus and Escherichia coli . None of the predicted inactive peptides possessed antibacterial properties. Molecular dynamics simulations of selected peptide structures in water and TFE suggest a pronounced peptide helicity in a hydrophobic environment. The results of this study underscore the applicability of neural networks for guiding the computer‐assisted design of new peptides with desired properties." @default.
• W2474880329 created "2016-07-22" @default.
• W2474880329 creator A5028135456 @default.
• W2474880329 creator A5061650399 @default.
• W2474880329 creator A5062582778 @default.
• W2474880329 creator A5066621933 @default.
• W2474880329 creator A5071793298 @default.
• W2474880329 creator A5073583894 @default.
• W2474880329 creator A5083326407 @default.
• W2474880329 date "2016-07-11" @default.
• W2474880329 modified "2023-09-30" @default.
• W2474880329 title "Sparse Neural Network Models of Antimicrobial Peptide-Activity Relationships" @default.
• W2474880329 cites W1031578623 @default.
• W2474880329 cites W1188774212 @default.
• W2474880329 cites W1457602677 @default.
• W2474880329 cites W1479971399 @default.
• W2474880329 cites W1486558210 @default.
• W2474880329 cites W1498436455 @default.
• W2474880329 cites W1576660662 @default.
• W2474880329 cites W1707522557 @default.
• W2474880329 cites W1818070918 @default.
• W2474880329 cites W1831312869 @default.
• W2474880329 cites W1964467472 @default.
• W2474880329 cites W1964557084 @default.
• W2474880329 cites W1971024387 @default.
• W2474880329 cites W1977241485 @default.
• W2474880329 cites W1979508690 @default.
• W2474880329 cites W1979764309 @default.
• W2474880329 cites W1979769287 @default.
• W2474880329 cites W1981021420 @default.
• W2474880329 cites W1986417360 @default.
• W2474880329 cites W1995096299 @default.
• W2474880329 cites W1996793152 @default.
• W2474880329 cites W1999798000 @default.
• W2474880329 cites W2008708467 @default.
• W2474880329 cites W2010841380 @default.
• W2474880329 cites W2023919356 @default.
• W2474880329 cites W2023921624 @default.
• W2474880329 cites W2026859661 @default.
• W2474880329 cites W2027839322 @default.
• W2474880329 cites W2035266068 @default.
• W2474880329 cites W2035687084 @default.
• W2474880329 cites W2035755292 @default.
• W2474880329 cites W2049475242 @default.
• W2474880329 cites W2068866896 @default.
• W2474880329 cites W2069642238 @default.
• W2474880329 cites W2070955875 @default.
• W2474880329 cites W2071806120 @default.
• W2474880329 cites W2072462334 @default.
• W2474880329 cites W2073631389 @default.
• W2474880329 cites W2076063813 @default.
• W2474880329 cites W2081693079 @default.
• W2474880329 cites W2084891943 @default.
• W2474880329 cites W2085312881 @default.
• W2474880329 cites W2088392411 @default.
• W2474880329 cites W2094201044 @default.
• W2474880329 cites W2094403468 @default.
• W2474880329 cites W2095548803 @default.
• W2474880329 cites W2097099115 @default.
• W2474880329 cites W2100495367 @default.
• W2474880329 cites W2103945336 @default.
• W2474880329 cites W2106023295 @default.
• W2474880329 cites W2109553965 @default.
• W2474880329 cites W2114804859 @default.
• W2474880329 cites W2114850508 @default.
• W2474880329 cites W2116296021 @default.
• W2474880329 cites W2121776789 @default.
• W2474880329 cites W2125582827 @default.
• W2474880329 cites W2128572087 @default.
• W2474880329 cites W2130479394 @default.
• W2474880329 cites W2133425057 @default.
• W2474880329 cites W2134514463 @default.
• W2474880329 cites W2140494151 @default.
• W2474880329 cites W2145085734 @default.
• W2474880329 cites W2151280091 @default.
• W2474880329 cites W2161078014 @default.
• W2474880329 cites W2168273416 @default.
• W2474880329 cites W2175270296 @default.
• W2474880329 cites W2213443318 @default.
• W2474880329 cites W2252778286 @default.
• W2474880329 cites W2253609413 @default.
• W2474880329 cites W2278332638 @default.
• W2474880329 cites W2284557696 @default.
• W2474880329 cites W2301541953 @default.
• W2474880329 cites W2302517508 @default.
• W2474880329 cites W2308360327 @default.
• W2474880329 cites W2345900262 @default.
• W2474880329 cites W2484966226 @default.
• W2474880329 cites W2739999456 @default.
• W2474880329 cites W2919115771 @default.
• W2474880329 cites W4231109964 @default.
• W2474880329 cites W913702437 @default.
• W2474880329 doi "https://doi.org/10.1002/minf.201600029" @default.
• W2474880329 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27870247" @default.
• W2474880329 hasPublicationYear "2016" @default.
• W2474880329 type Work @default.
• W2474880329 sameAs 2474880329 @default.
• W2474880329 citedByCount "14" @default.

• next