Results 1 to 10 of about 113,363 (75)
Protein Solubility Prediction Based on Sequence Feature Fusion [PDF]
Jisuanji kexue, 2022 Protein solubility plays an important role in the research of drug design.Traditional biological experiments of detecting protein solubility are time-consuming and laborious.Identifying protein solubility based on computational methods has become an ...
NIU Fu-sheng, GUO Yan-bu, LI Wei-hua, LIU Wen-yang
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Identification and in silico structural and functional analysis of a trypsin-like protease from shrimp Macrobrachium carcinus [PDF]
PeerJ, 2020 Macrobrachium carcinus (Linnaeus, 1758) is a species of freshwater shrimp widely distributed from Florida southwards to southern Brazil, including southeast of Mexico.
José M. Viader-Salvadó +5 more
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Word decoding of protein amino Acid sequences with availability analysis: a linguistic approach. [PDF]
PLoS ONE, 2012 The amino acid sequences of proteins determine their three-dimensional structures and functions. However, how sequence information is related to structures and functions is still enigmatic.
Kenta Motomura +5 more
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Amino acid sequence alignment of vertebrate CAPN3/calpain-3/p94
Data in Brief, 2015 CAPN3 is a calpain superfamily member that is predominantly expressed in skeletal muscle. So far, clear CAPN3 orthologs were found only in vertebrates.
Yasuko Ono, Hiroyuki Sorimachi
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Predicting the functional effect of amino acid substitutions and indels. [PDF]
PLoS ONE, 2012 As next-generation sequencing projects generate massive genome-wide sequence variation data, bioinformatics tools are being developed to provide computational predictions on the functional effects of sequence variations and narrow down the search of ...
Yongwook Choi +4 more
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Foods, 2021 Although the bioactivities of bovine lactoferrin have been extensively investigated, little is known about deer milk lactoferrin bioactivity and its amino acid sequence.
Ye Wang +4 more
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Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approach [PDF]
J. Chem. Theory Comput. 19, 6011-6022 (2023), 2023 Explainable and interpretable unsupervised machine learning helps understand the underlying structure of data. We introduce an ensemble analysis of machine learning models to consolidate their interpretation. Its application shows that restricted Boltzmann machines compress consistently into a few bits the information stored in a sequence of five amino
arxiv +1 more source
STAR: predicting recombination sites from amino acid sequence
BMC Bioinformatics, 2006 Background Designing novel proteins with site-directed recombination has enormous prospects. By locating effective recombination sites for swapping sequence parts, the probability that hybrid sequences have the desired properties is increased ...
Thier Ricarda +3 more
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Can Power Laws Help Us Understand Gene and Proteome Information?
Advances in Mathematical Physics, 2013 Proteins are biochemical entities consisting of one or more blocks typically folded in a 3D pattern. Each block (a polypeptide) is a single linear sequence of amino acids that are biochemically bonded together.
J. A. Tenreiro Machado +2 more
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An Alternative Model of Amino Acid Replacement [PDF]
Bioinformatics 2005 21(7):975-980, 2004 The observed correlations between pairs of homologous protein sequences are typically explained in terms of a Markovian dynamic of amino acid substitution. This model assumes that every location on the protein sequence has the same background distribution of amino acids, an assumption that is incompatible with the observed heterogeneity of protein ...
arxiv +1 more source