- Biochemical and Molecular Research
- Mitochondrial Function and Pathology
- Radiopharmaceutical Chemistry and Applications
- Peptidase Inhibition and Analysis
- Herpesvirus Infections and Treatments
- Immune Cell Function and Interaction
- HIV/AIDS drug development and treatment
- RNA and protein synthesis mechanisms
- Metabolism and Genetic Disorders
- T-cell and B-cell Immunology
- RNA modifications and cancer
- Neonatal Health and Biochemistry
- Yersinia bacterium, plague, ectoparasites research
- Neuroscience and Neuropharmacology Research
- Clostridium difficile and Clostridium perfringens research
- Enzyme Structure and Function
- Escherichia coli research studies
- Medical Imaging Techniques and Applications
- Pharmacological Effects of Natural Compounds
- Hippo pathway signaling and YAP/TAZ
- Neuroinflammation and Neurodegeneration Mechanisms
- Cytomegalovirus and herpesvirus research
- Computational Drug Discovery Methods
Ewha Womans University Medical Center
2025
Tianjin University of Traditional Chinese Medicine
2024
The rationale for using ADMET prediction tools in the early drug discovery paradigm is to guide design of new compounds with favorable properties and ultimately minimize attrition rates failures. Artificial intelligence (AI) silico modeling has gained momentum due its high-throughput low-cost attributes. In this study, we developed a machine learning model capable predicting 11 chemical compounds. Each was constructed by combining one 40 classification algorithms including random forest...
Poster Sessions protein folded in a (β/ α)5 manner with central β-sheet formed from five β-strands and surrounded by sides two three α-helices.This fold is similar to other receiver domains, e.g.CheY (E.coli) or ethylene receptor ETR1 (A. thal.).Major conformational differences between CKI1RD CheY are located loops connecting highly conserved secondary structure elements.