Posters
Presentation Type
Poster
Discipline Track
Biomedical Science
Abstract Type
Research/Clinical
Abstract
Background: Hepatocellular carcinomas (HCCs) is a primary malignancy of the liver. Hispanic-Texans have several risk factors and disparities that compound the risk of HCC diagnosis and treatment. The most used chemotherapeutic drug against HCC is sorafenib, but many liver cancers have developed a resistance to this drug. The knockdown of Y-box binding protein-1 (YB-1) has been shown to greatly increase sensitivity to sorafenib. In this study, we will discuss identification of potential YB-1 inhibitors, which can lead to re-sensitization of liver cancer cells to sorafenib.
Methodology: The RCSB protein data bank (pdb) was used to retrieve the crystal structure of YB1, while the DrugBank database was used to obtain a list of experimental and approved drugs. A multiple sequence alignment (MSA) of YB-1 & Lin28 was done by Clustal Omega. Biovia Discovery Studio 2020 was used to visualize 3D models and perform a High-Throughput Virtual Screening (HTVS), which includes rigid docking via the LibDock extension, flexible docking via the CDocker extension, and a pharmacokinetic profiling via an ADMET analysis.
Results: The cold shock domain of YB-1 was found to be conserved with Lin28, as a known transcription factor. 22 drug candidates were identified through HTVS. The best six show a decent binding ability in both rigid and flexible dockings and have been previously tested in different cancer types to some extent.
Conclusion: We were able to identify six potential drug candidates for inhibiting our protein of interest, YB-1. Studies are in progress to study them on sorafenib-resistant HCC cell lines.
Academic/Professional Position
Graduate Student
Mentor/PI Department
Immunology and Microbiology
Recommended Citation
Karkoutly, Omar; Dhasmana, Anupam; Ezell, Kristopher; Doxtater, Kyle; Dhevan, Vijian; Chauhan, Subhash C.; and Tripathi, Manish, "Performing a High-Throughput Virtual Screening (HVTS) to identify potential therapeutic targets of YB-1 protein" (2023). Research Symposium. 77.
https://scholarworks.utrgv.edu/somrs/theme1/posters/77
Included in
Performing a High-Throughput Virtual Screening (HVTS) to identify potential therapeutic targets of YB-1 protein
Background: Hepatocellular carcinomas (HCCs) is a primary malignancy of the liver. Hispanic-Texans have several risk factors and disparities that compound the risk of HCC diagnosis and treatment. The most used chemotherapeutic drug against HCC is sorafenib, but many liver cancers have developed a resistance to this drug. The knockdown of Y-box binding protein-1 (YB-1) has been shown to greatly increase sensitivity to sorafenib. In this study, we will discuss identification of potential YB-1 inhibitors, which can lead to re-sensitization of liver cancer cells to sorafenib.
Methodology: The RCSB protein data bank (pdb) was used to retrieve the crystal structure of YB1, while the DrugBank database was used to obtain a list of experimental and approved drugs. A multiple sequence alignment (MSA) of YB-1 & Lin28 was done by Clustal Omega. Biovia Discovery Studio 2020 was used to visualize 3D models and perform a High-Throughput Virtual Screening (HTVS), which includes rigid docking via the LibDock extension, flexible docking via the CDocker extension, and a pharmacokinetic profiling via an ADMET analysis.
Results: The cold shock domain of YB-1 was found to be conserved with Lin28, as a known transcription factor. 22 drug candidates were identified through HTVS. The best six show a decent binding ability in both rigid and flexible dockings and have been previously tested in different cancer types to some extent.
Conclusion: We were able to identify six potential drug candidates for inhibiting our protein of interest, YB-1. Studies are in progress to study them on sorafenib-resistant HCC cell lines.