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- Nir London, Dana Movshovitz-Attias, Ora Schueler-Furman
- Structure
- 2010
Peptide-protein interactions are very prevalent, mediating key processes such as signal transduction and protein trafficking. How can peptides overcome the entropic cost involved in switching from an… (More)
- Nir London, Barak Raveh, Dana Movshovitz-Attias, Ora Schueler-Furman
- Proteins
- 2010
In this study, we assess on a large scale the possibility of deriving self-inhibitory peptides from protein domains with globular architectures. Such inhibitory peptides would inhibit interactions of… (More)
- Dana Movshovitz-Attias, Yair Movshovitz-Attias, Peter Steenkiste, Christos Faloutsos
- IEEE/ACM International Conference on Advances in…
- 2013
Question answering (Q&A) communities have been gaining popularity in the past few years. The success of such sites depends mainly on the contribution of a small number of expert users who provide a… (More)
Statistical language models have successfully been used to describe and analyze natural language documents. Recent work applying language models to programming languages is focused on the task of… (More)
Many existing knowledge bases (KBs), including Freebase, Yago, and NELL, rely on a fixed ontology, given as an input to the system, which defines the data to be cataloged in the KB, i.e., a hierarchy… (More)
- Assaf Lavi, Chi Ho Ngan, +5 authors Dima Kozakov
- Proteins
- 2013
Peptide-mediated interactions, in which a short linear motif binds to a globular domain, play major roles in cellular regulation. An accurate structural model of this type of interaction is an… (More)
- Song Wang, Devin Chollak, Dana Movshovitz-Attias, Lin Tan
- 31st IEEE/ACM International Conference on…
- 2016
To improve software reliability, many rule-based techniques have been proposed to infer programming rules and detect violations of these rules as bugs. These rule-based approaches often rely on the… (More)
- Dana Movshovitz-Attias, William W. Cohen
- BioNLP@HLT-NAACL
- 2012
We describe an open information extraction system for biomedical text based on NELL (the NeverEnding Language Learner) [7], a system designed for extraction from Web text. NELL uses a coupled… (More)
- Dana Movshovitz-Attias, William W. Cohen
- BioNLP@HLT-NAACL
- 2012
We present an algorithm for extracting abbreviation definitions from biomedical text. Our approach is based on an alignment HMM, matching abbreviations and their definitions. We report 98% precision… (More)
As search engines are becoming smarter at interpreting user queries and providing meaningful responses, they rely on ontologies to understand the meaning of entities. Creating ontologies manually is… (More)