A5000863940- Computational Drug Discovery Methods
- Click Chemistry and Applications
- Synthesis and biological activity
- Protein purification and stability
- Neuroinflammation and Neurodegeneration Mechanisms
- Chemical Synthesis and Analysis
- Melanoma and MAPK Pathways
- Analytical Chemistry and Chromatography
- Metabolomics and Mass Spectrometry Studies
- RNA regulation and disease
- Isotope Analysis in Ecology
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Mass Spectrometry Techniques and Applications
- Wound Healing and Treatments
- Immune cells in cancer
- Protein Hydrolysis and Bioactive Peptides
- Peroxisome Proliferator-Activated Receptors
- Sphingolipid Metabolism and Signaling
Purdue University West Lafayette
2020-2025
Several microglia-expressed genes have emerged as top risk variants for Alzheimer's disease (AD). Impaired microglial phagocytosis is one of the main proposed outcomes by which these AD-risk may contribute to neurodegeneration, but mechanisms translating genetic association cellular dysfunction remain unknown. Here we show that microglia form lipid droplets (LDs) upon exposure amyloid-beta (Aβ), and their LD load increases with proximity amyloid plaques in brains from human patients AD mouse...
Abstract Scar formation is a process that occurs due to increased collagen deposition and uncontrolled inflammation. Previous studies have demonstrated Pirfenidone (Pf), an FDA approved anti-inflammatory anti-fibrotic drug can reduce inflammation in vivo as well regulate activation of LPS-stimulated neutrophils. However, the molecular level mechanism Pf’s action not understood. Here, we used neural networks identify new targets modeling methods investigate pathways at are related its ability...
The Programmable Cell Death Protein 1/Programmable Death-Ligand 1 (PD-1/PD-L1) interaction is an immune checkpoint utilized by cancer cells to enhance suppression. There exists a huge need develop small molecules drugs that are fast acting, cheap, and readily bioavailable compared antibodies. Unfortunately, synthesizing validating large libraries of small-molecule inhibit PD-1/PD-L1 in blind manner both time-consuming expensive. To improve this drug discovery pipeline, we have developed...
The Programmable Cell Death Protein 1/Programmable Death-Ligand 1 (PD-1/PD-L1) interaction is an immune checkpoint utilized by cancer cells to enhance suppression. There exists a huge need develop small molecules drugs that are fast acting, cheap, and readily bioavailable compared antibodies. Unfortunately, synthesizing validating large libraries of small-molecule inhibit PD-1/PD-L1 in blind manner both time-consuming expensive. To improve this drug discovery pipeline, we have developed...
The Programmed Cell Death Protein 1/Programmed Death-Ligand 1 (PD-1/PD-L1) interaction is an immune checkpoint utilized by cancer cells to enhance suppression. There a huge need develop small molecule drugs that are fast acting, cost effective, and readily bioavailable compared antibodies. Unfortunately, synthesizing validating large libraries of small- molecules inhibit PD-1/PD-L1 in blind manner both time-consuming expensive. To improve this drug discovery pipeline, we have developed...
The Programmed Cell Death Protein 1/Programmed Death-Ligand 1 (PD-1/PD-L1) interaction is an immune checkpoint utilized by cancer cells to enhance suppression. There a huge need develop small molecule drugs that are fast acting, cost effective, and readily bioavailable compared antibodies. Unfortunately, synthesizing validating large libraries of small- molecules inhibit PD-1/PD-L1 in blind manner both time-consuming expensive. To improve this drug discovery pipeline, we have developed...
Chemical and physical stabilities are two key features considered in pharmaceutical development. stability is typically reported as a combination of potency degradation product. For peptide products, it common to measure via aggregation or fibrillation using the fluorescent reporter Thioflavin T. Executing studies lengthy process requires extensive resources. To reduce resources shorten for during development product, we introduce machine learning based model predicting chemical over time...