Hamed Khakzad

Junior Professor

Inria Centre de Recherche Nancy Grand Est

France

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About

Hamed Khakzad is a Junior Professor at Inria Nancy - Grand-Est research centre in France. His research areas include protein design, mass spectrometry proteomics, and the interaction of antibodies with pathogens. Recent publications highlight significant contributions to understanding SARS-CoV-2 binding dynamics and advancements in enzymatic activity modeling using deep learning techniques.

Articles (10)

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2025

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2024

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2024

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2023

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2023

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2022

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2021

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2021

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2021

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2021

Collaborators (13)

Michael Nilges

Head of Unit, Chair

Institut Pasteur

FRANCE

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Mats Ohlin

Lund University

SWEDEN

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Johan Malmström

Professor

Lund University

SWEDEN

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Anna Bläckberg

Lund University

SWEDEN

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Pontus Nordenfelt

Lund University

SWEDEN

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Ulf Ellervik

Lund University

SWEDEN

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Lars Malmström

Lund University

SWEDEN

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Magnus Rasmussen

Lund University

SWEDEN

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Oonagh Shannon

Senior Lecturer

Malmö University

SWEDEN

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Elisabeth Hjortswang

Lund University

SWEDEN

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Sebastian Wrighton

Lund University

SWEDEN

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Berit Olofsson

Lund University

SWEDEN

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Magdalena Godzwon

Lund University

SWEDEN

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Hamed Khakzad

Research Interests

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About

Articles (10)

Stoichiometric insights into SARS-CoV-2 spike–ACE2 binding across variants

The hinge-engineered IgG1-IgG3 hybrid subclass IgGh47 potently enhances Fc-mediated function of anti-streptococcal and SARS-CoV-2 antibodies

Streptolysin O accelerates the conversion of plasminogen to plasmin

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

A new age in protein design empowered by deep learning

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

The structure of human dermatan sulfate epimerase 1 emphasizes the importance of C5-epimerization of glucuronic acid in higher organisms

Structural determination of Streptococcus pyogenes M1 protein interactions with human immunoglobulin G using integrative structural biology

Cheetah-MS: a web server to model protein complexes using tandem cross-linking mass spectrometry data

Quaternary Structure Modeling Through Chemical Cross-Linking Mass Spectrometry: Extending TX-MS Jupyter Reports.

Collaborators (13)

Michael Nilges

Mats Ohlin

Johan Malmström

Anna Bläckberg

Pontus Nordenfelt

Ulf Ellervik

Lars Malmström

Magnus Rasmussen

Oonagh Shannon

Elisabeth Hjortswang

Sebastian Wrighton

Berit Olofsson

Magdalena Godzwon

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