Exploring The Landscape Of Functional Proteins By Computational Design Bruno Correia

Laboratory Of Protein Design And Immunoengineering Bruno Correia His research group focuses on developing computational tools for protein design with particular emphasis on applying these strategies to immunoengineering, e.g., vaccine and cancer. During his sabbatical, correia will investigate how to use a geometric perspective on molecular structures to understand key phenomena in the immune system, such as immunogenicity and self vs non self discrimination.

Laboratory Of Protein Design And Immunoengineering Bruno Correia ‪ecole polytechnique federale de lausanne‬ ‪‪cited by 12,449‬‬ ‪bioengineering‬ ‪protein design‬. Mapping the protein interaction landscape for fully functionalized small molecule probes in human cells a computationally designed inhibitor of an epstein barr viral bcl 2 protein induces apoptosis in infected cells. Bruno correia [email protected] epfl.ch labs lpdi vcard nationalité: portuguese professeur ordinaire, laboratoire de conception de protéines et d'immuno ingénierie epfl sti ibi sti lpdi aab 0 44 (bâtiment aab) station 19 1015 lausanne. The experimental arm of the laboratory is prepared to perform molecular biology, protein expression and purification, and protein biophysical characterization.

Bruno E Correia Radcliffe Institute For Advanced Study At Harvard Bruno correia [email protected] epfl.ch labs lpdi vcard nationalité: portuguese professeur ordinaire, laboratoire de conception de protéines et d'immuno ingénierie epfl sti ibi sti lpdi aab 0 44 (bâtiment aab) station 19 1015 lausanne. The experimental arm of the laboratory is prepared to perform molecular biology, protein expression and purification, and protein biophysical characterization. De novo design of protein folds with complex topologies and intricate structural features using solely computational means remains a significant challenge. here, we use a robust deep learning. I will showcase important applications for our computationally designed proteins in the domains of vaccine design, t cell based therapies, biosensors and synthetic biology. Here we use a robust deep learning pipeline to design complex folds and soluble analogues of integral membrane proteins. A central focus of the research of bruno correia is the development of computational strategies that exploit structural information to design functional proteins.

Bruno Correia Photos And Premium High Res Pictures Getty Images De novo design of protein folds with complex topologies and intricate structural features using solely computational means remains a significant challenge. here, we use a robust deep learning. I will showcase important applications for our computationally designed proteins in the domains of vaccine design, t cell based therapies, biosensors and synthetic biology. Here we use a robust deep learning pipeline to design complex folds and soluble analogues of integral membrane proteins. A central focus of the research of bruno correia is the development of computational strategies that exploit structural information to design functional proteins.

Bruno Correia Photos And Premium High Res Pictures Getty Images Here we use a robust deep learning pipeline to design complex folds and soluble analogues of integral membrane proteins. A central focus of the research of bruno correia is the development of computational strategies that exploit structural information to design functional proteins.