Reverse Engineering Molecular Hypergraphs

Autor: Craig Estep, David J. Badger, Christopher L. Poirel, Ahsanur Rahman, T. M. Murali

Publikováno v: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10:1113-1124

Analysis of molecular interaction networks is pervasive in systems biology. This research relies almost entirely on graphs for modeling interactions. However, edges in graphs cannot represent multiway interactions among molecules, which occur very of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::447500d877deaa1b15475c47293fafcf
https://doi.org/10.1109/tcbb.2013.71

Network-Based Prediction and Analysis of HIV Dependency Factors

Autor: T. M. Murali, David J. Badger, Matthew D. Dyer, Michael G. Katze, Brett M. Tyler

Publikováno v: PLoS Computational Biology, Vol 7, Iss 9, p e1002164 (2011)
Lecture Notes in Computer Science ISBN: 9783642296260
RECOMB
PLoS Computational Biology

HIV Dependency Factors (HDFs) are a class of human proteins that are essential for HIV replication, but are not lethal to the host cell when silenced. Three previous genome-wide RNAi experiments identified HDF sets with little overlap. We combine dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::661cae75bad0a0120c2ee61502819e1b
http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002164