Zobrazeno 1 - 10
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pro vyhledávání: '"Özçelik, Rıza"'
Autor:
Özçelik, Rıza, Grisoni, Francesca
Deep learning has significantly accelerated drug discovery, with 'chemical language' processing (CLP) emerging as a prominent approach. CLP learns from molecular string representations (e.g., Simplified Molecular Input Line Entry Systems [SMILES] and
Externí odkaz:
http://arxiv.org/abs/2407.12152
Question answering (QA) is the task of answering questions posed in natural language with free-form natural language answers extracted from a given passage. In the OpenQA variant, only a question text is given, and the system must retrieve relevant p
Externí odkaz:
http://arxiv.org/abs/2401.03590
Artificial intelligence (AI) in the form of deep learning bears promise for drug discovery and chemical biology, $\textit{e.g.}$, to predict protein structure and molecular bioactivity, plan organic synthesis, and design molecules $\textit{de novo}$.
Externí odkaz:
http://arxiv.org/abs/2212.13295
Autor:
Temizer, Asu Büşra, Uludoğan, Gökçe, Özçelik, Rıza, Koulani, Taha, Ozkirimli, Elif, Ulgen, Kutlu O., Karalı, Nilgün, Özgür, Arzucan
Machine learning models have found numerous successful applications in computational drug discovery. A large body of these models represents molecules as sequences since molecular sequences are easily available, simple, and informative. The sequence-
Externí odkaz:
http://arxiv.org/abs/2210.14642
Autor:
van Tilborg, Derek, Brinkmann, Helena, Criscuolo, Emanuele, Rossen, Luke, Özçelik, Rıza, Grisoni, Francesca
Publikováno v:
In Current Opinion in Structural Biology June 2024 86
Computational models that accurately predict the binding affinity of an input protein-chemical pair can accelerate drug discovery studies. These models are trained on available protein-chemical interaction datasets, which may contain dataset biases t
Externí odkaz:
http://arxiv.org/abs/2107.05556
Coronavirus Disease of 2019 (COVID-19) created dire consequences globally and triggered an intense scientific effort from different domains. The resulting publications created a huge text collection in which finding the studies related to a biomolecu
Externí odkaz:
http://arxiv.org/abs/2009.02526
Large annotated datasets in NLP are overwhelmingly in English. This is an obstacle to progress in other languages. Unfortunately, obtaining new annotated resources for each task in each language would be prohibitively expensive. At the same time, com
Externí odkaz:
http://arxiv.org/abs/2004.14963
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Identification of high affinity drug-target interactions is a major research question in drug discovery. Proteins are generally represented by their structures or sequences. However, structures are available only for a small subset of biomolecules an
Externí odkaz:
http://arxiv.org/abs/1811.00761