Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41467-018-07709-6
Title: Capturing variation impact on molecular interactions in the IMEx Consortium mutations data set
Authors: del-Toro, N.
Duesbury, M.
Koch, M.
Perfetto, L.
Shrivastava, A.
Ochoa, D.
Wagih, O.
Piñero, J.
Kotlyar, M.
Pastrello, C.
Beltrao, P.
Furlong, L.I.
Jurisica, I.
Hermjakob, H.
Orchard, S.
Porras, P.
Khadake, J.
Meldal, B.
Panni, S.
Thorneycroft, D.
van Roey, K.
Abbani, S.
Salwinski, L.
Pellegrini, M.
Iannuccelli, M.
Licata, L.
Cesareni, G.
Roechert, B.
Bridge, A.
Ammari, M.G.
McCarthy, F.
Broackes-Carter, F.
Campbell, N.H.
Melidoni, A.N.
Rodriguez-Lopez, M.
Lovering, R.C.
Jagannathan, S. 
Chen, C.
Lynn, D.J.
Ricard-Blum, S.
Mahadevan, U.
Raghunath, A.
IMEx Consortium contributing authors.
Issue Date: 2019
Publisher: Nature Publishing Group
Citation: del-Toro, N., Duesbury, M., Koch, M., Perfetto, L., Shrivastava, A., Ochoa, D., Wagih, O., Piñero, J., Kotlyar, M., Pastrello, C., Beltrao, P., Furlong, L.I., Jurisica, I., Hermjakob, H., Orchard, S., Porras, P., Khadake, J., Meldal, B., Panni, S., Thorneycroft, D., van Roey, K., Abbani, S., Salwinski, L., Pellegrini, M., Iannuccelli, M., Licata, L., Cesareni, G., Roechert, B., Bridge, A., Ammari, M.G., McCarthy, F., Broackes-Carter, F., Campbell, N.H., Melidoni, A.N., Rodriguez-Lopez, M., Lovering, R.C., Jagannathan, S., Chen, C., Lynn, D.J., Ricard-Blum, S., Mahadevan, U., Raghunath, A., IMEx Consortium contributing authors. (2019). Capturing variation impact on molecular interactions in the IMEx Consortium mutations data set. Nature Communications 10 (1) : 10. ScholarBank@NUS Repository. https://doi.org/10.1038/s41467-018-07709-6
Rights: Attribution 4.0 International
Abstract: The current wealth of genomic variation data identified at nucleotide level presents the challenge of understanding by which mechanisms amino acid variation affects cellular processes. These effects may manifest as distinct phenotypic differences between individuals or result in the development of disease. Physical interactions between molecules are the linking steps underlying most, if not all, cellular processes. Understanding the effects that sequence variation has on a molecule’s interactions is a key step towards connecting mechanistic characterization of nonsynonymous variation to phenotype. We present an open access resource created over 14 years by IMEx database curators, featuring 28,000 annotations describing the effect of small sequence changes on physical protein interactions. We describe how this resource was built, the formats in which the data is provided and offer a descriptive analysis of the data set. The data set is publicly available through the IntAct website and is enhanced with every monthly release. © 2019, The Author(s).
Source Title: Nature Communications
URI: https://scholarbank.nus.edu.sg/handle/10635/212776
ISSN: 20411723
DOI: 10.1038/s41467-018-07709-6
Rights: Attribution 4.0 International
Appears in Collections:Elements
Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1038_s41467-018-07709-6.pdf1.53 MBAdobe PDF

OPEN

NoneView/Download

SCOPUSTM   
Citations

31
checked on Sep 23, 2022

Page view(s)

52
checked on Sep 22, 2022

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons