Field-theoretic simulation and random phase approximation Python codes for polyampholyte phase-separation
A Python package for field theoretic simulations of biomolecular phase-separation
Implementation of IDP-ELM: Accurate and Fast Prediction of Intrinsically Disordered Protein by Multiple Protein Language Models and Ensemble Learning
PyHeteroMap: A python package that maps and analyzes the conformational ensembles of Intrinsically Disordered Proteins (IDPs) from simulations.
Un cadre de biostase et de blindage génomique inspiré par les lichens et tardigrades pour la transposition de la vie eucaryote en milieu spatial extrême.
An Experiment-Informed HDP-HMM to Analyze Surface-Immobilized smFRET Data
MarkerPredict is a project to identify intrinsically disordered proteins as biomarkers of targeted cancer therapies with the use of network topology and motif identification. We created machine learning models using the Random Forest and XGBoost algorhythms that are able to predict new biomarkers based on biological annotation and topological data.
a database of membrane binding sites in intrinsically disordered regions of human transmembrane proteins
🧠🔬At the Cordeiro Lab, we investigate how intrinsically disordered proteins and biomolecular assemblies orchestrate cellular organization, pathogenic survival, and biotechnological innovation.
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