Results 31 to 40 of about 6,859,921 (298)
Predictions of protein–protein interactions: Learning sequences and structures [PDF]
APL Machine LearningIn view of understanding protein–protein interactions, we present a proof-of-principles workflow able to learn and make predictions. To this end, a neural network-based pipeline that integrates amino acid sequences with structural features is developed ...
Carl David Jasper Causin, Maria Fyta
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Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics. [PDF]
PLoS ONE, 2015 We introduce a new representation and feature extraction method for biological sequences. Named bio-vectors (BioVec) to refer to biological sequences in general with protein-vectors (ProtVec) for proteins (amino-acid sequences) and gene-vectors (GeneVec)
Ehsaneddin Asgari, Mohammad R K Mofrad
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Protein Sequences Recapitulate Genetic Code Evolution
Computational and Structural Biotechnology Journal, 2018 Several hypotheses predict ranks of amino acid assignments to genetic code's codons. Analyses here show that average positions of amino acid species in proteins correspond to assignment ranks, in particular as predicted by Juke's neutral mutation ...
Hervé Seligmann
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CISAPS: Complex Informational Spectrum for the Analysis of Protein Sequences [PDF]
, 2015 Complex informational spectrum analysis for protein sequences (CISAPS) and its web-based server are developed and presented. As recent studies show, only the use of the absolute spectrum in the analysis of protein sequences using the informational ...
Chrysostomou, Charalambos +5 more
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Super paramagnetic clustering of protein sequences
BMC Bioinformatics, 2005 Background Detection of sequence homologues represents a challenging task that is important for the discovery of protein families and the reliable application of automatic annotation methods.
Ruepp Andreas +3 more
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Study on the Influence of mRNA, the Genetic Language, on Protein Folding Rates
Frontiers in Genetics, 2021 Many works have reported that protein folding rates are influenced by the characteristics of amino acid sequences and protein structures. However, few reports on the problem of whether the corresponding mRNA sequences are related to the protein folding ...
Ruifang Li +4 more
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Machine learning on normalized protein sequences
BMC Research Notes, 2011 Background Machine learning techniques have been widely applied to biological sequences, e.g. to predict drug resistance in HIV-1 from sequences of drug target proteins and protein functional classes.
Hoffmann Daniel +2 more
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Exploring Protein Sequence Space Using Computationally Directed Recombination [PDF]
, 2006 Evolution has provided us with many protein sequences. However, these sequences represent a very small fraction of the possible sequences. In the laboratory, scientists have explored areas of sequence space not represented by natural proteins both to ...
Meyer, Michelle Margaret
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DNA Motif Recognition Modeling from Protein Sequences
iScience, 2018 Summary: Although the existing works on DNA motif discovery on DNA sequences are plethoric, mechanistic knowledge to infer DNA motifs from protein sequences across multiple DNA-binding domain families without conducting any wet-lab experiments is still ...
Ka-Chun Wong
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Protein contact order prediction from primary sequences
BMC Bioinformatics, 2008 Background Contact order is a topological descriptor that has been shown to be correlated with several interesting protein properties such as protein folding rates and protein transition state placements.
Wishart David S +4 more
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