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Bio
Protein Evolutionary Bioinformatics.
In 1973 Theodosius Dobzhansky wrote his famous essay "Nothing in Biology Makes Sense Except in the Light of Evolution" and this applies to most of our studies of proteins. The most important recent change in life science has been the tremendous increase in sequence information available. Traditionally, evolutionary information has been used to identify specific conserved motifs, to detect homologs and to predict various features of proteins. However, today when it is common to have access to thousands of homologous protein sequences for a single protein family there is much more information available to be harvested. Also the availability of complete genomic sequence information provides unique opportunities to improve our understanding of not only the evolutionary history of a gene/protein but also provide clues to its interactions partners etc. Our main interest is to understand the most fundamental questions about proteins, their function and evolution. These questions include: How is a novel protein created, what is the main function of alternative splicing, how can we predict the structure of large molecular machines, how functions the folding of transmembrane proteins.
We are applying this philosophy primarily to the studies of two very important classes of proteins: transmembrane proteins and repeat domain containing proteins. Both classes of proteins are important drug-targets and/or central to diseases. Our studies use a broad range of techniques. We are primarily using bioinformatics and other computational methods, but also to an increasing fraction biochemical and other experimental techniques.
From summer 2012 are we located at Science for Life Laboratory.
In 1973 Theodosius Dobzhansky wrote his famous essay "Nothing in Biology Makes Sense Except in the Light of Evolution" and this applies to most of our studies of proteins. The most important recent change in life science has been the tremendous increase in sequence information available. Traditionally, evolutionary information has been used to identify specific conserved motifs, to detect homologs and to predict various features of proteins. However, today when it is common to have access to thousands of homologous protein sequences for a single protein family there is much more information available to be harvested. Also the availability of complete genomic sequence information provides unique opportunities to improve our understanding of not only the evolutionary history of a gene/protein but also provide clues to its interactions partners etc. Our main interest is to understand the most fundamental questions about proteins, their function and evolution. These questions include: How is a novel protein created, what is the main function of alternative splicing, how can we predict the structure of large molecular machines, how functions the folding of transmembrane proteins.
We are applying this philosophy primarily to the studies of two very important classes of proteins: transmembrane proteins and repeat domain containing proteins. Both classes of proteins are important drug-targets and/or central to diseases. Our studies use a broad range of techniques. We are primarily using bioinformatics and other computational methods, but also to an increasing fraction biochemical and other experimental techniques.
From summer 2012 are we located at Science for Life Laboratory.
Research Interests
Papers共 206 篇Author StatisticsCo-AuthorSimilar Experts
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Bioinformaticsno. 1 (2024)
biorxiv(2023)
Karin Ernits,Chayan Kumar Saha,Tetiana Brodiazhenko, Bhanu Chouhan,Aditi Shenoy, Julian J Duque-Pedraza, Veda Bojar,Jose A Nakamoto,Tatsuaki Kurata,Artyom Egorov, Lena Shyrokova, Marcus J. O. Johansson,
crossref(2023)
Journal of structural biologyno. 4 (2023): 108023-108023
PNAS NEXUSno. 2 (2023)
bioRxiv (Cold Spring Harbor Laboratory) (2023)
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Author Statistics
#Papers: 207
#Citation: 17002
H-Index: 67
G-Index: 128
Sociability: 6
Diversity: 0
Activity: 1
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