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Study shows differences in alcohol and marijuana use among two- and four-year college students

Students at four-year colleges and universities drink nearly twice as much alcohol as their peers in two-year colleges, according to a survey of college students in the Seattle area. ....

University Of Washington , United States , Washington State University , Michael Gilson , Jennifer Duckworth , Devon Abdallah , Christine Lee , Emily Henderson , National Institute On Alcohol Abuse , Department Of Human Development , Journal Of American College Health , American College , Human Development , National Institute , Alcohol Abuse ,

Four-year college students drink more, use marijuana less than community college peers – WSU Insider

New WSU research shows students at four-year colleges and universities drink nearly twice as much alcohol as their peers in two-year colleges, according to a survey of college students in the Seattle area. ....

University Of Washington , United States , Washington State University , Michael Gilson , Jennifer Duckworth , Devon Abdallah , Christine Lee , National Institute On Alcohol Abuse , Department Of Human Development , Journal Of American College Health , American College , Human Development , National Institute , Alcohol Abuse ,

Four-year college students drink more, use marijuana less than community college peers

Four-year college students drink more, use marijuana less than community college peers
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University Of Washington , United States , Washington State University , Michael Gilson , Jennifer Duckworth , Devon Abdallah , Christine Lee , National Institute On Alcohol Abuse , Department Of Human Development , Journal Of American College Health , American College , Human Development , National Institute , Alcohol Abuse ,

Quickly Calculating Drug–Target Binding Affinity With Machine Learning

MIT researchers have developed a machine learning-based technique to more quickly calculate the binding affinity of a drug molecule (represented in pink) with a target protein (the circular structure). Credit: MIT News, Xinqiang Ding and Bin Zhang
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Drugs can only work if they stick to their target proteins in the body. Assessing that stickiness is a key hurdle in the drug discovery and screening process. New research combining chemistry and machine learning could lower that hurdle.
The new technique, dubbed DeepBAR, quickly calculates the binding affinities between drug candidates and their targets. The approach yields precise calculations in a fraction of the time compared to previous state-of-the-art methods. The researchers say DeepBAR could one day quicken the pace of drug discovery and protein engineering. ....

United States , Zhangb Deep , Michael Gilson , Broad Institute , Department Of Chemistry , Laubach Career Development Professor In Chemistry , University Of California At San Diego , Bin Zhang , Pfizer Laubach Career Development Professor , Physical Chemistry , Xinqiang Ding , San Diego , ஒன்றுபட்டது மாநிலங்களில் , மைக்கேல் கில்சன் , பரந்த நிறுவனம் , துறை ஆஃப் வேதியியல் , லாபாக் தொழில் வளர்ச்சி ப்ரொஃபெஸர் இல் வேதியியல் , பல்கலைக்கழகம் ஆஃப் கலிஃபோர்னியா இல் சான் டியாகோ , பின் ஜாங் , ஃபைசர் லாபாக் தொழில் வளர்ச்சி ப்ரொஃபெஸர் , உடல் வேதியியல் , சான் டியாகோ ,

DeepBAR: AI-Based Technique That May Speed Drug Discovery

DeepBAR is a new technique that combines chemistry and machine learning to speed up calculations of drug molecules' binding affinity to proteins. ....

United States , San Diego , Michael Gilson , University Of California , Broad Institute , Method For Binding Free Energy Computation , Bin Zhang , Physical Chemistry Letters , Exact Method , Binding Free Energy Computation , Xinqiang Ding , ஒன்றுபட்டது மாநிலங்களில் , சான் டியாகோ , மைக்கேல் கில்சன் , பல்கலைக்கழகம் ஆஃப் கலிஃபோர்னியா , பரந்த நிறுவனம் , முறை க்கு பிணைப்பு இலவசம் ஆற்றல் கணக்கீடு , பின் ஜாங் , உடல் வேதியியல் எழுத்துக்கள் , சரியான முறை , பிணைப்பு இலவசம் ஆற்றல் கணக்கீடு ,