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Alex T. Müller

École Polytechnique Fédérale de Lausanne

15

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546

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Morphing of Amphipathic Helices to Explore the Activity and Selectivity of Membranolytic Antimicrobial Peptides.

2020 Biochemistry
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In silico design and optimization of selective membranolytic anticancer peptides

2019 Scientific Reports
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Generative Recurrent Networks for De Novo Drug Design

2018 Molecular Informatics
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Erratum: Generative Recurrent Networks for De Novo Drug Design.

2018 Molecular Informatics
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Front Cover: Designing Anticancer Peptides by Constructive Machine Learning (ChemMedChem 13/2018)

2018 ChemMedChem
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Interaction of Toxins and Peptides with Lipid Membranes Studied on a Microfluidic Device

2018 Biophysical Journal
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Recurrent Neural Network Model for Constructive Peptide Design

2018 Journal of Chemical Information and Modeling
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Peptide–Membrane Interaction between Targeting and Lysis

2018 ACS Chemical Biology
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Rational Design of Membrane‐Pore‐Forming Peptides

2017 Small
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Hybrid Network Model for “Deep Learning” of Chemical Data: Application to Antimicrobial Peptides

2017 Molecular Informatics
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Citations (28)