New Jersey Institute of Technology · PhysicsPeptide Assembly and Structure Lab
Cristiano Luis Dias · Newark, New Jersey
Research Focus
Dr. Cristiano Luis Dias' lab focuses on understanding how specific sequences of amino acids in peptides influence their ability to form structures known as amyloid fibrils, which are implicated in diseases like Alzheimer's and Parkinson's. By combining advanced computer simulations, machine learning, and experimental validation, the lab aims to develop predictive tools that can identify the potential for peptide self-assembly. This research is important for designing non-toxic amyloids for biomedical applications and improving our understanding of peptide behavior in the context of neurodegenerative diseases.
amyloid fibrilspeptide self-assemblymachine learningmolecular dynamicsbioinformaticsneurologic diseasesbiomedical applicationscomputational biologyhigh throughput analysis
Research Aims
3AIM 01Develop machine learning algorithms to predict if a peptide will self-assemble into amyloid fibrils.
AIM 02Perform high throughput analysis to explore amino acid sequences and their propensity to form fibrils.
AIM 03Investigate the molecular mechanisms of peptides forming complex fibrils with characteristics similar to disease-causing amyloids.
Skills the Lab Values
Molecular Dynamics SimulationsMachine LearningPeptide SynthesisBioinformatics ToolsStatistical AnalysisData VisualizationExperimental ValidationComputational ModelingProtein Structure Analysis