Every week, some of our senior researchers in each department at ASDRP give public seminar presenting the current state of the field, and disseminating how their research at ASDRP fits into the broader context of the frontiers of modern science and engineering. Colloquia are public events, and anyone can join. Simply click the Google Calendar link to add the event to your calendar.
Department of Biological, Human & Life Sciences
Tuesdays @ 8:00 - 9:00 PM PST
Tuesday, December 1, 2020
ASDRP New Safety Laboratory Safety Guidelines
ASDRP puts the health and safety of our researchers first. This week's Biology and Life Science Colloquium will focus on reviewing and having an in depth discussion with Soumya Suresh and Edward Njoo about the recent update to the ASDRP Laboratory Safety Guidelines.
Edward Njoo, ASDRP Leadership Team
Soumya Suresh, ASDRP Leadership Team
Department of Chemistry, Biochemistry & Physics
Fridays @ 8:00 - 9:00 PM PST
Friday, December 4, 2020
Accounting for conformational isomerism in biologically-relevant small molecules, using 19-F Nuclear Magnetic Resonance to probe solvent effects in keto-enol tautomerization, and comparing the efficiency of palladium catalysts in the Carroll rearrangement
Protein-ligand docking is a popular method used in or high throughput virtual screening to evaluate the potential of ligands as effective substrates for a specific protein target in hit-to-lead generation. Although docking is a quick way to screen molecules against a known target, most algorithms treat the ligand and protein as static bodies, failing to account for conformational states, potentially returning false-negatives. To address this, docking algorithms can be run on all conformation states of ligands, but this is a significantly computationally intensive process, as the number of entities in the target and ligand increases exponentially. Here, an overview of a simplified geometry-based approach to account for conformational isomers will be described. Current work on investigating hydrogen vs deuterium solvent effects and directly observable kinetic isotopic effects on keto-enol tautomerization will also be presented. Further, through the Carroll rearrangement, the relative efficiencies of palladium catalysts with different ligands are being studied in our laboratory and the importance of palladium catalysis in industry will be explored in brief. .
Anvi S., Quarry Lane School
Njoo Research Group
Organic, Medicinal Chemistry
Department of Computer Science & Engineering
Wednesdays @ 8:00 - 9:00 PM PST
Wednesday, December 2, 2020
Sentiment Analysis on Speeches of 2020 Primary Presidential Candidates.
Sentiment analysis uses natural language processing, text analysis, and computational linguistics to analyze statements and determine whether they are positive, negative, or neutral about a particular topic or product. Since there are varying levels of polarity, algorithms can be used to assign these levels to statements. A statement's subjectivity can also be determined, allowing the text to be substantiated as fact or opinion. Sentiment analysis has various implications in society. It allows one to analyze people's opinions on a subject relatively quickly compared to reading through texts to figure out the opinion. In addition, the sentiments can help one understand what they can do to improve a product or event based on others' sentiments. In this project, our group will be analyzing speech transcripts of two political leaders, Donald Trump and Joe Biden, to determine their sentiments regarding various topics. We can then figure out how each leader feels or thinks about a subject based on their choice of words. We will create a machine learning model, which will incorporate transcripts of their speeches and determine its sentiment.
Alex George, Dhruv Suresh, Mahika Modi, and Amulya Chirumamilla.
Johnson Research Group
Data Science, Environmental Studies