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Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.07.29.227363v1?rss=1
Authors: Palopoli, N., Marchetti, J., Monzon, A. M., Zea, D. J., Tosatto, S. C. E., Fornasari, M. S., Parisi, G.
Abstract:
Intrinsically disordered proteins (IDPs) lack stable tertiary structure under physiological conditions. The unique composition and complex dynamical behaviour of IDPs make them a challenge for structural biology and molecular evolution studies. Using NMR ensembles, we found that IDPs evolve under a strong site-specific evolutionary rate heterogeneity, mainly originated by different constraints derived from their inter-residue contacts. Evolutionary rate profiles correlate with the experimentally observed conformational diversity of the protein, allowing the description of different conformational patterns possibly related to their structure-function relationships. The correlation between evolutionary rates and contact information improves when structural information is taken not from any individual conformer or the whole ensemble, but from combining a limited number of conformers. Our results suggest that residue contacts in disordered regions constrain evolutionary rates to conserve the dynamic behaviour of the ensemble and that evolutionary rates can be used as a proxy for the conformational diversity of IDPs.
Copy rights belong to original authors. Visit the link for more info
http://biorxiv.org/cgi/content/short/2020.07.29.227363v1?rss=1
Authors: Palopoli, N., Marchetti, J., Monzon, A. M., Zea, D. J., Tosatto, S. C. E., Fornasari, M. S., Parisi, G.
Abstract:
Intrinsically disordered proteins (IDPs) lack stable tertiary structure under physiological conditions. The unique composition and complex dynamical behaviour of IDPs make them a challenge for structural biology and molecular evolution studies. Using NMR ensembles, we found that IDPs evolve under a strong site-specific evolutionary rate heterogeneity, mainly originated by different constraints derived from their inter-residue contacts. Evolutionary rate profiles correlate with the experimentally observed conformational diversity of the protein, allowing the description of different conformational patterns possibly related to their structure-function relationships. The correlation between evolutionary rates and contact information improves when structural information is taken not from any individual conformer or the whole ensemble, but from combining a limited number of conformers. Our results suggest that residue contacts in disordered regions constrain evolutionary rates to conserve the dynamic behaviour of the ensemble and that evolutionary rates can be used as a proxy for the conformational diversity of IDPs.
Copy rights belong to original authors. Visit the link for more info
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Cari episod lepas bagi PaperPlayer biorxiv bioinformatics.
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Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.11.19.390773v1?rss=1
Authors: Ge, X., Chen, Y. E., Song, D., McDermott, M., Woyshner, K., Manousopoulou, A., Wang, L. D., Li, W., Li, J. J.
Abstract:
High-throughput biological data analysis commonly involves the identification ...
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.11.20.391912v1?rss=1
Authors: Choudhary, K. S., Fahy, E., Coakley, K., Sud, M., Maurya, M. R., Subramaniam, S.
Abstract:
With the advent of high throughput mass spectrometric methods, metabolomics has emerged as an essential ar ...
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.11.17.367490v1?rss=1
Authors: Rizwan, S., Pike, D., Poudel, S., Nanda, V.
Abstract:
Cofactor binding sites in proteins often are composed of favorable interactions of specific cofactors with the sidechains and/or backbone prote ...
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.11.17.386813v1?rss=1
Authors: Dragan, I., Sparso, T., Kuznetsov, D., Slieker, R., Ibberson, M.
Abstract:
Summary: dsSwissKnife is an R package that enables several powerful analyses to be performed on federated datasets. The pa ...
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.11.19.390542v1?rss=1
Authors: Burstein, D., Fullard, J., Roussos, P.
Abstract:
Prior to identifying clusters in single cell gene expression experiments, selecting the top principal components is a critical step for filtering ou ...
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