プロフィール詳細

プロジェクトを作成

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Julien H.に依頼

Brazil

Computational chemist driving AI projects for Drug Discovery

プロフィール概要

CADD responsible for Medicinal Chemistry projects (GPCR, protease), Hit-to-Lead projects as well as early projects. Providing scientific inputs through, or in combination of 3D modeling, Molecular Dynamic simulations, FEP calculations, Biomolecular foundation model, Structure/ligand-based drug design, Machine Learning property predictions and Generative AI for Medicinal Chemistry.

専門分野

• ★ Drug Discovery
• ★ Hit-to-Lead & Lead Optimization
• ★ Drug Design
• ☆ High Throughput Screening (HTS)
• ☆ Medicinal Chemistry
• ☆ Combinatorial Chemistry
• ☆ Structure-Activity Relationship (SAR) Studies

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Scientific and Technical Research

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Algorithm Design-ML

職務経験

Computational Chemistry Expert

Idorsia Pharmaceuticals Ltd. (Basel-CH)

1月 2020 - 3月 2025

Computational Chemistry Specialist

Idorsia Pharmaceuticals Ltd. (Basel-CH)

1月 2013 - 1月 2020

学歴

Ph.D.

Johannes-Gutenberg Universität Mainz - Germany

4月 2021 - 1月 2025

Masters (Science)

Université Louis Pasteur (Strasbourg I) - France

1月 2007 - 12月 2008

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Julien Hazemann, Andreas Tosstorff, Markus G. Rudolph, Jörg Benz, Bernd Kuhn, Christian Kramer, May Sharpe, Chia‐Ying Huang, Alexander Metz, Daniel Ritz, et al. (2025). The CASP 16 Experimental Protein–Ligand Datasets . Proteins: Structure, Function, and Bioinformatics.

Julien Hazemann, François Le Goff, Lukas Christen, Geoffroy Bourquin, Gabin Pierlot, Roland Lange, Philippe Panchaud, Cornelia Zumbrunn, Oliver Peter, Georg Rueedi, et al. (2025). Measurement and prediction of small molecule retention by Gram-negative bacteria based on a large-scale LC/MS screen . Scientific Reports.

Julien Hazemann, Thierry Kimmerlin, Aengus Mac Sweeney, Geoffroy Bourquin, Roland Lange, Daniel Ritz, Sylvia Richard-Bildstein, Sylvain Regeon, Paul Czodrowski (2025). Accelerating the Hit-To-Lead Optimization of a SARS-CoV-2 Mpro Inhibitor Series by Combining High-Throughput Medicinal Chemistry and Computational Simulations . Journal of Medicinal Chemistry.

Julien Hazemann, Chia-Ying Huang, Alexander Metz, Roland Lange, Nadia Artico, Céline Potot, Manon Müller, Marina Dos Santos, Alain Chambovey, Daniel Ritz, et al. (2024). Fragment-based screening targeting an open form of the SARS-CoV-2 main protease binding pocket . Acta Crystallographica Section D Structural Biology.

Julien Hazemann, Thierry Kimmerlin, Roland Lange, Aengus Mac Sweeney, Geoffroy Bourquin, Daniel Ritz, Paul Czodrowski (2024). Identification of SARS-CoV-2 Mpro inhibitors through deep reinforcement learning for de novo drug design and computational chemistry approaches . RSC Medicinal Chemistry.

Julien Hazemann, Christoph Boss, Thierry Kimmerlin, Modest Von Korff, Urs Lüthi, Oliver Peter, Thomas Sander, Romain Siegrist (2017). The Screening Compound Collection: A Key Asset for Drug Discovery . CHIMIA.