Open Access. Powered by Scholars. Published by Universities.®
Amino Acids, Peptides, and Proteins Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (3)
- Biochemistry, Biophysics, and Structural Biology (2)
- Computer Sciences (2)
- Life Sciences (2)
- Structural Biology (2)
-
- Algebraic Geometry (1)
- Anatomy (1)
- Artificial Intelligence and Robotics (1)
- Biochemistry (1)
- Bioinformatics (1)
- Biological Phenomena, Cell Phenomena, and Immunity (1)
- Biological and Chemical Physics (1)
- Biophysics (1)
- Chemistry (1)
- Computational Biology (1)
- Diseases (1)
- Genetic Processes (1)
- Genetics and Genomics (1)
- Macromolecular Substances (1)
- Mathematics (1)
- Medical Anatomy (1)
- Medical Biochemistry (1)
- Medical Cell Biology (1)
- Medical Genetics (1)
- Medical Molecular Biology (1)
- Medical Neurobiology (1)
- Medical Sciences (1)
- Keyword
-
- Ab Initio Protein Structure Prediction (1)
- Aggregate (1)
- Conformational Ensemble Generator (1)
- Disulfide Bonds Prediction (1)
- Drug Discovery (1)
-
- Energy Function (1)
- Flexible Energy Function (1)
- Huntingtin (1)
- Huntington’s Disease (1)
- Intrinsically Disordered Proteins (1)
- MHtt (1)
- PPI (1)
- Protein Language Model (1)
- Protein pair interaction (1)
- Protein protein interaction (1)
- RasD2 (1)
- Rhes (1)
- Zika, SARS-Cov-2, COVID-19, molecular dynamics, cucurbiturils, helicase, viral proteins (1)
Articles 1 - 4 of 4
Full-Text Articles in Amino Acids, Peptides, and Proteins
Protein-Protein Interaction Prediction From Language Of Biological Coding, Nayan Howladar
Protein-Protein Interaction Prediction From Language Of Biological Coding, Nayan Howladar
LSU New Orleans Theses and Dissertations
Protein-protein interactions in a cell are essential to the characterization and performance of various fundamental biological processes. Due to the tedious, resource-expensive, and time-consuming experimental processes, computational techniques to solve protein pair interaction difficulties have emerged as an active research area in bioinformatics. This research seeks to develop an innovative machine learning-based technique that predicts the interaction of a protein pair based on carefully selected input features and exploits information-rich evolutionary information. We developed a protein-protein interaction predictor, PPILS, that leverages the evolutionary knowledge from the protein language model. We examined several distinct neural network architectures: CNN+LSTM, Transformer, Encoder-Decoder, and …
Applied Molecular Dynamics: From Targeting Viral Helicases, To Understanding The Interactions Of Cucurbituril Complexes In Ionic Solutions, Bryan Raubenolt
Applied Molecular Dynamics: From Targeting Viral Helicases, To Understanding The Interactions Of Cucurbituril Complexes In Ionic Solutions, Bryan Raubenolt
LSU New Orleans Theses and Dissertations
Molecular Dynamics simulations are a highly useful tool in helping understand the fundamental interactions present in a variety of chemical systems. The work discussed here illustrates it’s use in determining the conformational dynamics of the Zika and SARS-Cov-2 helicase in a physiological environment, largely in an effort to discover inhibitors capable of rendering the protein inert. Additionally, we show how it can be used to understand paradoxical trends in the anion-induced precipitation of Cucurbituril cavitands.
Viral helicases are motor proteins tasked with unwinding the viral dsRNA, a crucial step in preparing the strand to be translatable by host cells. By …
Effective Statistical Energy Function Based Protein Un/Structure Prediction, Avdesh Mishra
Effective Statistical Energy Function Based Protein Un/Structure Prediction, Avdesh Mishra
LSU New Orleans Theses and Dissertations
Proteins are an important component of living organisms, composed of one or more polypeptide chains, each containing hundreds or even thousands of amino acids of 20 standard types. The structure of a protein from the sequence determines crucial functions of proteins such as initiating metabolic reactions, DNA replication, cell signaling, and transporting molecules. In the past, proteins were considered to always have a well-defined stable shape (structured proteins), however, it has recently been shown that there exist intrinsically disordered proteins (IDPs), which lack a fixed or ordered 3D structure, have dynamic characteristics and therefore, exist in multiple states. Based on …
How The Manipulation Of The Ras Homolog Enriched In Striatum Alters The Behavioral And Molecular Progression Of Huntington’S Disease, Franklin A. Lee
How The Manipulation Of The Ras Homolog Enriched In Striatum Alters The Behavioral And Molecular Progression Of Huntington’S Disease, Franklin A. Lee
LSU New Orleans Theses and Dissertations
Huntington’s disease is an incurable, progressive neurological disorder characterized by loss of motor control, psychiatric dysfunction, and eventual dystonia leading to death. Despite the fact that this disorder is caused by a mutation in one single gene, there is no cure. The mutant Huntingtin (mHtt) protein is expressed ubiquitously throughout the brain but frank cell death is limited to the striatum. Recent work has suggested that Rhes, Ras homolog enriched in striatum, which is selectively expressed in the striatum, may play a role in Huntington’s disease neuropathology. In vitro studies have shown Rhes to be an E3 ligase for the …