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Activities

Employment (1)

Universität Bern: Bern, Bern, CH

2021 to present | Doctoral student (Chemistry, Biochemistry and Pharmacy)
Employment
Source: Self-asserted source
Markus Orsi

Education and qualifications (4)

Universität Bern: Bern, Bern, CH

2021 to present | PhD Chemistry and Molecular Sciences (Chemistry, Biochemistry and Pharmacy)
Education
Source: Self-asserted source
Markus Orsi

University of Copenhagen: Copenhagen, DK

2020 to 2021 | Master Thesis (Drug Design and Pharmacology)
Education
Source: Self-asserted source
Markus Orsi

ETH Zurich: Zurich, CH

2019 to 2021 | MSc. ETH Pharm. Sc. (Chemistry and Applied Biosciences)
Education
Source: Self-asserted source
Markus Orsi

ETH Zurich: Zurich, CH

2016 to 2019 | BSc. ETH Pharm. Sc. (Chemistry and Applied Biosciences)
Education
Source: Self-asserted source
Markus Orsi

Professional activities (4)

youngSCS: Bern, CH

2020 to present | University Representative
Service
Source: Self-asserted source
Markus Orsi

University of Copenhagen: Copenhagen, DK

2020 | Novo Nordisk International Talent Programme Scholarship (Drug Design and Pharmacology)
Distinction
Source: Self-asserted source
Markus Orsi

ASEP (Association Suisse des Etudiants en Pharmacie): Bern, CH

2019 to 2020 | Board Member: Events & Trainings
Service
Source: Self-asserted source
Markus Orsi

APV (Akademischer Pharmazieverein der ETH Zürich): Zürich, CH

2017 to 2019 | Board Member: Culture & Events
Service
Source: Self-asserted source
Markus Orsi

Works (13)

Assigning the Stereochemistry of Natural Products by Machine Learning

2025-02-07 | Preprint
Contributors: Markus Orsi; Jean-Louis Reymond
Source: check_circle
Crossref

Can large language models predict antimicrobial peptide activity and toxicity?

RSC Medicinal Chemistry
2024 | Journal article
Contributors: Markus Orsi; Jean-Louis Reymond
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

ELECTRUM: An Electron Configuration-based Universal Metal Fingerprint for Transition Metal Compounds

2024-10-17 | Preprint
Contributors: Angelo Frei; Markus Orsi
Source: check_circle
Crossref

Assigning the Stereochemistry of Natural Products by Machine Learning

2024-09-23 | Preprint
Contributors: Markus Orsi; Jean-Louis Reymond
Source: check_circle
Crossref

Leveraging machine learning to streamline the development of liposomal drug delivery systems

2024-07-04 | Preprint
Contributors: Remo Eugster; Markus Orsi; Giorgio Buttitta; Nicola Serafini; Mattia Tiboni; Luca Casettari; Jean-Louis Reymond; Simone Aleandri; Paola Luciani
Source: check_circle
Crossref

Navigating a 1E+60 Chemical Space

2024-06-03 | Preprint
Contributors: Markus Orsi; Jean-Louis Reymond
Source: check_circle
Crossref

Maschinelles Lernen zur Vorhersage antibakterieller Aktivität von Ruthenium‐Komplexen**

Angewandte Chemie
2024-03-04 | Journal article
Contributors: Markus Orsi; Boon Shing Loh; Cheng Weng; Wee Han Ang; Angelo Frei
Source: check_circle
Crossref

Using Machine Learning to Predict the Antibacterial Activity of Ruthenium Complexes**

Angewandte Chemie International Edition
2024-03-04 | Journal article
Contributors: Markus Orsi; Boon Shing Loh; Cheng Weng; Wee Han Ang; Angelo Frei
Source: check_circle
Crossref

Alchemical analysis of FDA approved drugs

Digital Discovery
2023 | Journal article
Contributors: Markus Orsi; Daniel Probst; Philippe Schwaller; Jean-Louis Reymond
Source: check_circle
Crossref

One chiral fingerprint to find them all

2023-12-20 | Preprint
Contributors: Markus Orsi; Jean-Louis Reymond
Source: check_circle
Crossref

Exploring the Sequence Space of Antimicrobial Peptide Dendrimers

Israel Journal of Chemistry
2023-10 | Journal article
Part of ISSN: 0021-2148
Part of ISSN: 1869-5868
Contributors: Xingguang Cai; Alice Capecchi; Basak Olcay; Markus Orsi; Sacha Javor; Jean‐Louis Reymond
Source: Self-asserted source
Markus Orsi

An intrinsically disordered antimicrobial peptide dendrimer from stereorandomized virtual screening

Cell Reports Physical Science
2022-12 | Journal article
Part of ISSN: 2666-3864
Contributors: Xingguang Cai; Markus Orsi; Alice Capecchi; Thilo Köhler; Christian van Delden; Sacha Javor; Jean-Louis Reymond
Source: Self-asserted source
Markus Orsi

Machine Learning Guided Discovery of Non‐Hemolytic Membrane Disruptive Anticancer Peptides

ChemMedChem
2022-08-05 | Journal article
Part of ISSN: 1860-7179
Part of ISSN: 1860-7187
Contributors: Markus Orsi
Source: Self-asserted source
Markus Orsi