Publications de Hamed Khakzad | EPFL Graph Search

De novo protein design by inversion of the AlphaFold structure prediction network

Bruno Emanuel Ferreira De Sousa Correia, Hamed Khakzad, Casper Alexander Goverde, Stéphane Rosset, Benedict Dieter Gregor Wolf

De novo protein design enhances our understanding of the principles that govern protein folding and interactions, and has the potential to revolutionize biotechnology through the engineering of novel protein functionalities. Despite recent progress in comp ...

2023

A new age in protein design empowered by deep learning

Bruno Emanuel Ferreira De Sousa Correia, Michael Bronstein, Hamed Khakzad, Casper Alexander Goverde, Arne Schneuing, Ilia Igashov

The rapid progress in the field of deep learning has had a significant impact on protein design. Deep learning methods have recently produced a breakthrough in protein structure prediction, leading to the availability of high-quality models for millions of ...

Cell Press2023

Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics

Hamed Khakzad

Author summaryIn recent years, the application of deep learning represented a breakthrough in the mass spectrometry (MS) field by improving the assignment of the correct sequence of amino acids from observable MS spectra without prior knowledge, also known ...

PUBLIC LIBRARY SCIENCE2023

Invasive Streptococcal Infection Can Lead to the Generation of Cross-Strain Opsonic Antibodies

Hamed Khakzad

The bacterium Streptococcus pyogenes is a common cause of both mild and severe human diseases resulting in substantial morbidity and mortality each year. No vaccines are available, and our understanding of the antibody response to this human pathogen is st ...

AMER SOC MICROBIOLOGY2022

Macromolecular modeling and design in Rosetta: recent methods and frameworks

Bruno Emanuel Ferreira De Sousa Correia, Patrick Daniel Barth, Andreas Scheck, Jaume Bonet Martinez, Hamed Khakzad, Alisa Khramushin, Thomas Huber, Lei Shi

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 ...

NATURE PUBLISHING GROUP2020