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Full-Text Articles in Biomedical Engineering and Bioengineering
Augmenting Structure/Function Relationship Analysis With Deep Learning For The Classification Of Psychoactive Drug Activity At Class A G Protein-Coupled Receptors, Hannah Willow Shows
Augmenting Structure/Function Relationship Analysis With Deep Learning For The Classification Of Psychoactive Drug Activity At Class A G Protein-Coupled Receptors, Hannah Willow Shows
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G protein-coupled receptors (GPCRs) initiate intracellular signaling pathways via interaction with external stimuli. [1-5] Despite sharing similar structure and cellular mechanism, GPCRs participate in a uniquely broad range of physiological functions. [6] Due to the size and functional diversity of the GPCR family, these receptors are a major focus for pharmacological applications. [1,7] Current state-of-the-art pharmacology and toxicology research strategies rely on computational methods to efficiently design highly selective, low toxicity compounds. [9], [10] GPCR-targeting therapeutics are associated with low selectivity resulting in increased risk of adverse effects and toxicity. Psychoactive drugs that are active at Class A GPCRs used …
Augmenting Structure/Function Relationship Analysis With Deep Learning For The Classification Of Psychoactive Drug Activity At Class A G Protein-Coupled Receptors, Hannah Willow Shows
Augmenting Structure/Function Relationship Analysis With Deep Learning For The Classification Of Psychoactive Drug Activity At Class A G Protein-Coupled Receptors, Hannah Willow Shows
Browse all Theses and Dissertations
G protein-coupled receptors (GPCRs) initiate intracellular signaling pathways via interaction with external stimuli. [1-5] Despite sharing similar structure and cellular mechanism, GPCRs participate in a uniquely broad range of physiological functions. [6] Due to the size and functional diversity of the GPCR family, these receptors are a major focus for pharmacological applications. [1,7] Current state-of-the-art pharmacology and toxicology research strategies rely on computational methods to efficiently design highly selective, low toxicity compounds. [9], [10] GPCR-targeting therapeutics are associated with low selectivity resulting in increased risk of adverse effects and toxicity. Psychoactive drugs that are active at Class A GPCRs used …
Extension Of Multivariate Analyses To The Field Of Microbial Ecology, Vijay Shankar
Extension Of Multivariate Analyses To The Field Of Microbial Ecology, Vijay Shankar
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Ground-breaking advancements in molecular and analytical techniques in the past decade have enabled researchers to accumulate data at an extraordinary rate. Especially in the field of microbial ecology, the introduction of technologies such as high-throughput sequencing, quantitative microarrays, nuclear magnetic resonance and mass spectrometry has led to the interrogation of diverse and previously unexplored microbial communities at unparalleled depth. Analysis and interpretation of patterns within datasets acquired with such high-throughput methods require powerful statistical approaches. A class of such techniques called multivariate statistical analyses is an excellent choice for analysis of complex microbiota-related datasets. This field of statistics is constantly …