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pro vyhledávání: '"Noah Weber"'
Autor:
Arjun Rao, Tin M. Tunjic, Michael Brunsteiner, Michael Müller, Hosein Fooladi, Chiara Gasbarri, Noah Weber
Publikováno v:
Artificial Intelligence in the Life Sciences, Vol 3, Iss , Pp 100072- (2023)
Proximity-inducing compounds (PICs) are an emergent drug technology through which a protein of interest (POI), often a drug target, is brought into the vicinity of a second protein which modifies the POI’s function, abundance or localisation, givin
Externí odkaz:
https://doaj.org/article/f11773f1f2b14e7a98ec1230cb3e38bb
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 2058-2067 (2023)
Proteolysis targeting chimeras represent a class of drug molecules with a number of attractive properties, most notably a potential to work for targets that, so far, have been in-accessible for conventional small molecule inhibitors. Due to their dif
Externí odkaz:
https://doaj.org/article/8dda7351132d4685a58acee2be310ba4
Autor:
Oliver Orasch, Noah Weber, Michael Müller, Amir Amanzadi, Chiara Gasbarri, Christopher Trummer
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 13, p 7033 (2022)
Protein–protein interactions (PPIs) play a fundamental role in various biological functions; thus, detecting PPI sites is essential for understanding diseases and developing new drugs. PPI prediction is of particular relevance for the development o
Externí odkaz:
https://doaj.org/article/138160a01b2d4780ab4b1efc1f0abfa1
Proximity-inducing compounds (PICs) are an emergent drug technology through which a protein of interest (POI), often a drug target, is brought into the vicinity of a second protein which modifies the POI’s function, abundance or localisation, givin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72dc2d822ba4dcac066ca74b3c2ba05a
https://doi.org/10.1101/2022.06.03.494737
https://doi.org/10.1101/2022.06.03.494737
Publikováno v:
Machine Learning: Science and Technology. 3:015029
Recent developments in machine learning-based molecular fragment linking have demonstrated the importance of informing the generation process with structural information specifying the relative orientation of the fragments to be linked. However, such
Publikováno v:
EMNLP (1)
When does a sequence of events define an everyday scenario and how can this knowledge be induced from text? Prior works in inducing such scripts have relied on, in one form or another, measures of correlation between instances of events in a corpus.
Publikováno v:
CoNLL
Early work on narrative modeling used explicit plans and goals to generate stories, but the language generation itself was restricted and inflexible. Modern methods use language models for more robust generation, but often lack an explicit representa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f1d8e595066cd0a63111ba229815ad4
Publikováno v:
MobiSys
Today there is no effective support for device-wide question answering on mobile devices. State-of-the-art QA models are deep learning behemoths designed for the cloud which run extremely slow and require more memory than available on phones. We pres
Publikováno v:
EMNLP
Scripts define knowledge about how everyday scenarios (such as going to a restaurant) are expected to unfold. One of the challenges to learning scripts is the hierarchical nature of the knowledge. For example, a suspect arrested might plead innocent
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 15(3)
Quartet trees displayed by larger phylogenetic trees have long been used as inputs for species tree and supertree reconstruction. Computational constraints prevent the use of all displayed quartets in many practical problems due to the number of taxa