Publications by Andreas Scheck

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The robust computational design of functional proteins has the potential to deeply impact translational research and broaden our understanding of the determinants of protein function and stability. The low success rates of computational design protocols an ...

Proteins are fundamental components in biological systems and crucial for a variety of biological functions. Over the last decades, significant progress in structural biology has facilitated the study of proteins and their interactions with molecular partn ...

Physical interactions between proteins are essential for most biological processes governing life. However, the molecular determinants of such interactions have been challenging to understand, even as genomic, proteomic and structural data increase. This k ...

Evolutionary changes in the hepatitis B virus (HBV) genome could reflect its adaptation to host -induced selective pressure. Leveraging paired human exome and ultra -deep HBV genome-sequencing data from 567 affected individuals with chronic hepatitis B, we ...

Proteins are typically represented by discrete atomic coordinates providing an accessible framework to describe different conformations. However, in some fields proteins are more accurately represented as near-continuous surfaces, as these are imprinted wi ...

Computational protein engineering has enabled the rational design of customized proteins, which has propelled both sequence-based and structure-based immunogen engineering and delivery. By discerning antigenic determinants of viral pathogens, computational ...

Hepatitis C virus (HCV) infection causes similar to 290,000 annual human deaths despite the highly effective antiviral treatment available. Several viral immune evasion mechanisms have hampered the development of an effective vaccine against HCV, among the ...

BackgroundLarge-scale datasets of protein structures and sequences are becoming ubiquitous in many domains of biological research. Experimental approaches and computational modelling methods are generating biological data at an unprecedented rate. The deta ...

The Rosetta software for macromolecular modeling, docking and design is extensively used in laboratories worldwide. During two decades of development by a community of laboratories at more than 60 institutions, Rosetta has been continuously refactored and ...

Anti-CRISPR (Acr) proteins are powerful tools to control CRISPR-Cas technologies. However, the available Acr repertoire is limited to naturally occurring variants. Here, we applied structure-based design on AcrIIC1, a broad-spectrum CRISPR-Cas9 inhibitor, ...

The present application relates to a computer-implemented systems and methods for protein interaction design using surface fingerprints. The method comprises predicting at least one target interface site with high binding propensity, wherein, optionally, t ...

Andreas Scheck

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Rosetta FunFolDes - A general framework for the computational design of functional proteins

On the exploration of novel methodological approaches for immunogen design: case studies in influenza and hepatitis C

De novo design of protein interactions with learned surface fingerprints

Joint host-pathogen genomic analysis identifies hepatitis B virus mutations associated with human NTCP and HLA class I variation

RosettaSurf-A surface-centric computational design approach

Computational design of vaccine immunogens

Epitope-focused immunogens targeting the hepatitis C virus glycoproteins induce broadly neutralizing antibodies

rstoolbox - a Python library for large-scale analysis of computational protein design data and structural bioinformatics

Macromolecular modeling and design in Rosetta: recent methods and frameworks

Computational design of anti-CRISPR proteins with improved inhibition potency

Systems and methods for de novo design of protein interactions with learned surface fingerprints

Machine Learning in Protein Science De Novo Design of Site-Specific Protein Binders Using Surface Fingerprints

De Novo Design of Site-specific Protein Binders Using Surface Fingerprints