Dr. Jan A. Hiss
Dr. Jan A. Hiss
ETH Zürich
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Cited by
Designing antimicrobial peptides: form follows function
CD Fjell, JA Hiss, REW Hancock, G Schneider
Nature reviews Drug discovery 11 (1), 37-51, 2012
Deep learning in drug discovery
E Gawehn, JA Hiss, G Schneider
Molecular informatics 35 (1), 3-14, 2016
Identification of New PNEPs Indicates a Substantial Non-PEXEL Exportome and Underpins Common Features in Plasmodium falciparum Protein Export
A Heiber, F Kruse, C Pick, C Grüring, S Flemming, A Oberli, H Schoeler, ...
PLoS pathogens 9 (8), e1003546, 2013
Recurrent neural network model for constructive peptide design
AT Muller, JA Hiss, G Schneider
Journal of chemical information and modeling 58 (2), 472-479, 2018
An Unusual ERAD-Like Complex Is Targeted to the Apicoplast of Plasmodium falciparum
S Spork, JA Hiss, K Mandel, M Sommer, TWA Kooij, T Chu, G Schneider, ...
Eukaryotic cell 8 (8), 1134-1145, 2009
modlAMP: Python for antimicrobial peptides
AT Müller, G Gabernet, JA Hiss, G Schneider
Bioinformatics 33 (17), 2753-2755, 2017
Membranolytic anticancer peptides
G Gabernet, AT Müller, JA Hiss, G Schneider
MedChemComm 7 (12), 2232-2245, 2016
Proteomic and genetic analyses demonstrate that Plasmodium berghei blood stages export a large and diverse repertoire of proteins
EM Pasini, JA Braks, J Fonager, O Klop, E Aime, R Spaccapelo, TD Otto, ...
Molecular & Cellular Proteomics 12 (2), 426-448, 2013
Designing anticancer peptides by constructive machine learning
F Grisoni, CS Neuhaus, G Gabernet, AT Müller, JA Hiss, G Schneider
ChemMedChem 13 (13), 1300-1302, 2018
Identification of E-cadherin signature motifs functioning as cleavage sites for Helicobacter pylori HtrA
TP Schmidt, AM Perna, T Fugmann, M Böhm, J Hiss, S Haller, C Götz, ...
Scientific reports 6 (1), 23264, 2016
Advancing drug discovery via GPU-based deep learning
E Gawehn, JA Hiss, JB Brown, G Schneider
Expert opinion on drug discovery 13 (7), 579-582, 2018
Scaffold hopping from natural products to synthetic mimetics by holistic molecular similarity
F Grisoni, D Merk, V Consonni, JA Hiss, SG Tagliabue, R Todeschini, ...
Communications Chemistry 1 (1), 44, 2018
Automated de novo molecular design by hybrid machine intelligence and rule-driven chemical synthesis
A Button, D Merk, JA Hiss, G Schneider
Nature machine intelligence 1 (7), 307-315, 2019
Adhesion, Invasion, and Agglutination Mediated by Two Trimeric Autotransporters in the Human Uropathogen Proteus mirabilis
P Alamuri, M Löwer, JA Hiss, SD Himpsl, G Schneider, HLT Mobley
Infection and immunity 78 (11), 4882-4894, 2010
Architecture, function and prediction of long signal peptides
JA Hiss, G Schneider
Briefings in bioinformatics 10 (5), 569-578, 2009
Hybrid network model for “deep learning” of chemical data: application to antimicrobial peptides
P Schneider, AT Müller, G Gabernet, AL Button, G Posselt, S Wessler, ...
Molecular informatics 36 (1-2), 1600011, 2017
In silico design and optimization of selective membranolytic anticancer peptides
G Gabernet, D Gautschi, AT Müller, CS Neuhaus, L Armbrecht, PS Dittrich, ...
Scientific reports 9 (1), 11282, 2019
Immunosuppressive Small Molecule Discovered by Structure‐Based Virtual Screening for Inhibitors of Protein–Protein Interactions
T Geppert, S Bauer, JA Hiss, E Conrad, M Reutlinger, P Schneider, ...
Angewandte Chemie International Edition 51 (1), 258-261, 2012
Neighborhood‐Preserving Visualization of Adaptive Structure–Activity Landscapes: Application to Drug Discovery
M Reutlinger, W Guba, RE Martin, AI Alanine, T Hoffmann, A Klenner, ...
Angewandte Chemie International Edition 50 (49), 11633-11636, 2011
Reaction-driven de novo design, synthesis and testing of potential type II kinase inhibitors
G Schneider, T Geppert, M Hartenfeller, F Reisen, A Klenner, ...
Future medicinal chemistry 3 (4), 415-424, 2011
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