Results 71 to 80 of about 561,016 (281)
Cell wall target fragment discovery using a low‐cost, minimal fragment library
FEBS Letters, EarlyView.LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source
tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection
Annual Meeting of the Association for Computational Linguistics, 2020 Semantic similarity detection is a fundamental task in natural language understanding. Adding topic information has been useful for previous feature-engineered semantic similarity models as well as neural models for other tasks.
Nicole Peinelt, D. Nguyen, Maria Liakata
semanticscholar +1 more source
FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation [PDF]
, 2013 Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to perform scene recognition and annotation. Recently, a new type of topic model called the Document Neural Autoregressive Distribution Estimator (DocNADE) was ...
Larochelle, Hugo +2 more
core
Topic Modeling with Wasserstein Autoencoders [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 We propose a novel neural topic model in the Wasserstein autoencoders (WAE) framework. Unlike existing variational autoencoder based models, we directly enforce Dirichlet prior on the latent document-topic vectors.
Feng Nan +3 more
semanticscholar +1 more source
FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
A Topic Modeling Approach to Ranking [PDF]
, 2015 We propose a topic modeling approach to the prediction of preferences in pairwise comparisons. We develop a new generative model for pairwise comparisons that accounts for multiple shared latent rankings that are prevalent in a population of users.
Ding, Weicong +2 more
core
Topic modeling for cluster analysis of large biological and medical datasets
BMC Bioinformatics, 2014 The big data moniker is nowhere better deserved than to describe the ever-increasing prodigiousness and complexity of biological and medical datasets.
Weizhong Zhao, Wen Zou, James J. Chen
semanticscholar +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
Political attention to environmental issues: Analyzing policy punctuations in the Netherlands [PDF]
, 2009 One of the most dramatized features in Al Gore's movie The Inconvenient Truth is the effects of a rising sea-level in the Netherlands. The film is an example of how the mobilization of bias in the Netherlands resulted in sudden high levels of attention ...
Breeman, G.E., Timmermans, A.
core +1 more source