Personal information

Other IDs

Scopus Author ID: 57164240800

Keywords

Computer Assisted Drug Design, Antimicrobial Peptides, Machine Learning

Countries

Switzerland

Activities

Collapse all

Employment (2)

Roche: Basel, CH

2020-10-01 to present | Data Scientist (Lead Discovery)
Employment
Source: Self-asserted source
Alex Müller

endogena therapeutics, inc.: San Francisco, CA, US

2018-03-01 to 2020-08-31 | Head Chemoinformatics (Chemoinformatics)
Employment
Source: Self-asserted source
Alex Müller

Education and qualifications (2)

ETH Zurich: Zürich, ZH, CH

2015-01-01 to 2018-01-31 | PhD (Chemistry and Applied Biosciences)
Education
Source: Self-asserted source
Alex Müller

ETH Zurich: Zurich, CH

2012 to 2014 | MSc (Chemistry and Applied Biosciences)
Education
Source: Self-asserted source
Alex Müller

Works (18)

Simple User‐Friendly Reaction Format

Molecular Informatics
2025-01 | Journal article
DOI: 10.1002/minf.202400361
Contributors: David F. Nippa; Alex T. Müller; Kenneth Atz; David B. Konrad; Uwe Grether; Rainer E. Martin; Gisbert Schneider
Source: check_circle
Crossref

Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective molecular optimization

2025-01-29 | Preprint
DOI: 10.26434/chemrxiv-2025-0lxhw-v2
Contributors: David F. Nippa; Kenneth Atz; Yannick Stenzhorn; Alex T. Müller; Andreas Tosstorff; Jörg Benz; Hayley Binch; Markus Bürkler; Achi Haider; Dominik Heer et al.
Source: check_circle
Crossref

Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective molecular optimization

2025-01-23 | Preprint
DOI: 10.26434/chemrxiv-2025-0lxhw
Contributors: David F. Nippa; Kenneth Atz; Yannick Stenzhorn; Alex T. Müller; Andreas Tosstorff; Jörg Benz; Hayley Binch; Markus Bürkler; Achi Haider; Dominik Heer et al.
Source: check_circle
Crossref

Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistry

RSC Medicinal Chemistry
2024 | Journal article
DOI: 10.1039/D4MD00196F
Contributors: Kenneth Atz; David F. Nippa; Alex T. Müller; Vera Jost; Andrea Anelli; Michael Reutlinger; Christian Kramer; Rainer E. Martin; Uwe Grether; Gisbert Schneider et al.
Source: check_circle
Crossref

Simple User-Friendly Reaction Format

2024-05-07 | Preprint
DOI: 10.26434/chemrxiv-2023-nfq7h-v2
Contributors: David F. Nippa; Alex T. Müller; Kenneth Atz; David B. Konrad; Uwe Grether; Rainer E. Martin; Gisbert Schneider
Source: check_circle
Crossref

Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning

Nature Chemistry
2024-02 | Journal article
DOI: 10.1038/s41557-023-01360-5
Contributors: David F. Nippa; Kenneth Atz; Remo Hohler; Alex T. Müller; Andreas Marx; Christian Bartelmus; Georg Wuitschik; Irene Marzuoli; Vera Jost; Jens Wolfard et al.
Source: check_circle
Crossref

Small-Molecule-Directed Endogenous Regeneration of Visual Function in a Mammalian Retinal Degeneration Model

International Journal of Molecular Sciences
2024-01-26 | Journal article
DOI: 10.3390/ijms25031521
Contributors: Daphna Mokady; Jason Charish; Patrick Barretto-Burns; Kenneth N. Grisé; Brenda L. K. Coles; Susanne Raab; Arturo Ortin-Martinez; Alex Müller; Bernhard Fasching; Payal Jain et al.
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Identifying opportunities for late-stage C-H alkylation with high-throughput experimentation and in silico reaction screening

Communications Chemistry
2023-11-20 | Journal article
DOI: 10.1038/s42004-023-01047-5
Contributors: David F. Nippa; Kenneth Atz; Alex T. Müller; Jens Wolfard; Clemens Isert; Martin Binder; Oliver Scheidegger; David B. Konrad; Uwe Grether; Rainer E. Martin et al.
Source: check_circle
Crossref

Simple User-Friendly Reaction Format

2023-11-08 | Preprint
DOI: 10.26434/chemrxiv-2023-nfq7h
Contributors: David F. Nippa; Alex T. Müller; Kenneth Atz; David B. Konrad; Uwe Grether; Rainer E. Martin; Gisbert Schneider
Source: check_circle
Crossref

G-PLIP: Knowledge graph neural network for structure-free protein-ligand bioactivity prediction

2023-09-05 | Preprint
DOI: 10.1101/2023.09.01.555977
Contributors: Simon J. Crouzet; Anja Maria Lieberherr; Kenneth Atz; Tobias Nilsson; Lisa Sach-Peltason; Alex T. Müller; Matteo Dal Peraro; Jitao David Zhang
Source: check_circle
Crossref

Recurrent Neural Network Model for Constructive Peptide Design

Journal of Chemical Information and Modeling
2018-01-22 | Journal article
DOI: 10.1021/acs.jcim.7b00414
Source: Self-asserted source
Alex Müller

Peptide-Membrane Interaction between Targeting and Lysis

ACS Chemical Biology
2017 | Journal article
DOI: 10.1021/acschembio.7b00504
EID:

2-s2.0-85029498838
Contributors: Stutz, K.; Müller, A.T.; Hiss, J.A.; Schneider, P.; Blatter, M.; Pfeiffer, B.; Posselt, G.; Kanfer, G.; Kornmann, B.; Wrede, P. et al.
Source: Self-asserted source
Alex Müller via Scopus - Elsevier

Rational Design of Membrane-Pore-Forming Peptides

Small
2017 | Journal article
DOI: 10.1002/smll.201701316
EID:

2-s2.0-85032859345
Contributors: Pillong, M.; Hiss, J.A.; Schneider, P.; Lin, Y.-C.; Posselt, G.; Pfeiffer, B.; Blatter, M.; Müller, A.T.; Bachler, S.; Neuhaus, C.S. et al.
Source: Self-asserted source
Alex Müller via Scopus - Elsevier

Generative Recurrent Networks for De Novo Drug Design

Molecular Informatics
2017-11-02 | Journal article
DOI: 10.1002/minf.201700111
Source: Self-asserted source
Alex Müller

modlAMP: Python for antimicrobial peptides

Bioinformatics
2017-05-04 | Journal article
DOI: 10.1093/bioinformatics/btx285
Source: Self-asserted source
Alex Müller

Hybrid Network Model for "Deep Learning" of Chemical Data: Application to Antimicrobial Peptides

Molecular Informatics
2016 | Journal article
DOI: 10.1002/minf.201600011
EID:

2-s2.0-84960539870
Contributors: Schneider, P.; Müller, A.T.; Gabernet, G.; Button, A.L.; Posselt, G.; Wessler, S.; Hiss, J.A.; Schneider, G.
Source: Self-asserted source
Alex Müller via Scopus - Elsevier

Membranolytic anticancer peptides

MedChemComm
2016 | Journal article
DOI: 10.1039/c6md00376a
EID:

2-s2.0-85004093037
Contributors: Gabernet, G.; Müller, A.T.; Hiss, J.A.; Schneider, G.
Source: Self-asserted source
Alex Müller via Scopus - Elsevier

Sparse Neural Network Models of Antimicrobial Peptide-Activity Relationships

Molecular Informatics
2016 | Journal article
DOI: 10.1002/minf.201600029
EID:

2-s2.0-84994338597
Contributors: Müller, A.T.; Kaymaz, A.C.; Gabernet, G.; Posselt, G.; Wessler, S.; Hiss, J.A.; Schneider, G.
Source: Self-asserted source
Alex Müller via Scopus - Elsevier

Peer review (2 reviews for 1 publication/grant)

Review activity for Artificial intelligence in the life sciences. (2)
How many people are using ORCID?