S
Shaomin Yan
Researcher at Chinese Academy of Sciences
Publications - 110
Citations - 2393
Shaomin Yan is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Amino acid & Influenza A virus. The author has an hindex of 17, co-authored 98 publications receiving 2303 citations. Previous affiliations of Shaomin Yan include University of Udine & Yahoo!.
Papers
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Journal ArticleDOI
Prediction of amino acid pairs sensitive to mutations in the spike protein from SARS related coronavirus
Guang Wu,Shaomin Yan +1 more
TL;DR: The results demonstrate that the randomly unpredictable amino acids pairs are more sensitive to the mutations, and the amino acid pairs whose actual frequencies are smaller than their predicted frequencies are more likely to be formed after mutations.
Journal Article
Prediction of two- and three-amino-acid sequences of Citrobacter Freundii beta-lactamase from its amino acid composition.
Guang Wu,Shaomin Yan +1 more
TL;DR: The repeated amino-acid sequences in Citrobacter Freundii beta-lactamase may be indispensable for its function, because such repetitions cannot be simply attributed to a chance, and some kinds of amino acid sequences absent and cannot be predicted from its amino acid composition according to a purely random mechanism should be deliberately excluded from Citrob bacteria.
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Prediction of Two- and Three-Amino-Acid Sequences of Acute Myeloid Leukaemia 1 Protein from its Amino Acid Composition
Guang Wu,Shaomin Yan +1 more
TL;DR: The repeated amino acid sequences in human acute myeloid leukaemia 1 protein (AML-1) are indispensable for its function and such repetitions cannot be simply attributed to chance.
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Predicting Km values of beta-glucosidases using cellobiose as substrate.
TL;DR: This study attempts to develop models to predict Km with cellobiose as substrates using information about primary structure of beta-glucosidase and shows that the 20-1 feedforward backpropagation neural network using the amino-acid distribution probability as predictor works best for prediction of Km values.
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Trends in global warming and evolution of matrix protein 2 family from influenza A virus
Shaomin Yan,Guang Wu +1 more
TL;DR: The study suggested the potential impact of global warming on the evolution of proteins from influenza A virus and the results showed the similar trends in global warming and in evolution of M2 proteins although it could not correlate them.