Dr. Jan A. Hiss
Areas of interest
- Immunomodulatory Peptides and their de novo design (Antimicrobial Peptides, MHC-I binder)
- Nature Inspired Algorithms (Ant Colony Optimization)
- Targeting Signals in Pathogens (Long Signal Peptides)
- Mixed Reality Applications for Teaching and Research
Book contributions
- Hiss J. A. and Schneider G. (2013) external page Peptide design by nature-inspired computing. In: De Novo Molecular Design (Schneider, G. , Ed.),Wiley-VCH, Weinheim, pp. 437-461.
- Hiss J. A. and Schneider G. (2011) external page Sorting potential therapeutic targets in Apicomplexa. In: Apicomplexan Parasites (Becker, K., Ed.), Drug Discovery in Infectious Deseases Vol. 2, Wiley-VCH, Weinheim, pp. 35-51.
Highlighted Publications
Allenspach, S., Hiss, J. A. & Schneider, G. (2024) Neural multi-task learning in drug design. external page Nat. Mach. Intell. 6, 124-137.
Fjell C.D. & Hiss J.A., Hancock R.E., Schneider G. external page Designing antimicrobial peptides: form follows function. Nat Rev Drug Discov. 2012,11, 37-51.
Publications
Allenspach, S., Hiss, J. A. & Schneider, G. (2024) Neural multi-task learning in drug design. external page Nat. Mach. Intell. 6, 124-137.
Atz, K., Cotos Muñoz, L., Isert, C., Håkansson, M., Focht, D., Nippa, D. F., Hilleke, M., Iff, M., Ledergerber, J., Schiebroek, C. C. G., Hiss, J. A., Merk, D., Schneider, P., Kuhn, B., Grether, U. & Schneider, G. (2023) Deep interactome learning for de novo drug design. Preprint: external page ChemRxiv-2023-cbq9k.
Wyss, C.; Bührer, W.; Furrer, F.; Degonda, A.; Hiss, J.A. Innovative Teacher Education with the Augmented Reality Device Microsoft HoloLens—Results of an Exploratory Study and Pedagogical Considerations. external page Multimodal Technol. Interact. 2021, 5, 45.
Müller, A., Posselt, G., Gabernet, G., Neuhaus, C., Bachler, S., Blatter, M., Pfeiffer, B., Hiss, J. A., Dittrich, P., Altmann, K.-H., Wessler, S. and Schneider, G. (2020) Morphing of amphipathic helices to explore the activity and selectivity of membranolytic antimicrobial peptides. external page Biochemistry 59, 3772–3781.
Button, A., Merk, D., Hiss, J. A. and Schneider, G. (2019) Automated de novo molecular design by hybrid machine intelligence and rule-driven chemical synthesis. external page Nature Mach. Intell. 1, 307-315.
Neuhaus, C. S., Gabernet, G., Steuer, C., Root, K., Hiss, J. A., Zenobi, R. and Schneider, G. (2019) Simulated molecular evolution for anticancer peptides. external page Angew. Chem. Int. Ed. 58, 1674-1678.
Fuchs, J. A., Brunner, C., Schineis, P., Hiss, J. A. and Schneider, G. (2019) Identification of chemokine ligands by biochemical fragmentation and simulated peptide evolution. external page Angew. Chem. Int. Ed. 58, 7138-7142.
Gabernet, G., Gautschi, D., Müller, A. T., Neuhaus, C. S., Armbrecht, L., Dittrich, P. S., Hiss, J. A. and Schneider, G. (2019) In silico design and optimization of selective membranolytic anticancer peptides. external page Sci. Rep. 9, 11282.
Grisoni, F., Neuhaus, C. S., Hishinuma, M., Gabernet, G., Hiss, J. A., Kotera, M. and Schneider, G. (2019) De novo design of anticancer peptides by ensemble artificial neural networks. external page J. Mol. Model. 25, 112.
Neuhaus, C. S., Gabernet, G., Steuer, C., Root, K., Hiss, J. A., Zenobi, R. and Schneider, G. (2019) Simulated molecular evolution for anticancer peptides. external page Angew. Chem. Int. Ed. 58, 1674-1678.
Fuchs, J. A., Brunner, C., Schineis, P., Hiss, J. A. and Schneider, G. (2019) Identification of chemokine ligands by biochemical fragmentation and simulated peptide evolution. external page Angew. Chem. Int. Ed. 58, accepted.
Grisoni, F., Merk, D., Consonni, V., Hiss, J. A., Tagliabue, S. G., Todeschini, R. and Schneider, G. (2018) Scaffold hopping from natural products to synthetic mimetics by holistic molecular similarity. Communications Chemistry, external page Communications Chemistry, 1, 44.
Allenspach, M. D., Fuchs, J. A., Doriot, N., Hiss, J. A., Schneider, G. and Steuer, C. (2018) Quantification of hydrolyzed peptides and proteins by amino acid fluorescence. J. Pept. Sci., accepted.
Grisoni, F., Neuhaus, C. S., Gabernet, G., Müller, A. T., Hiss, J. A. and Schneider, G. (2018) Designing anticancer peptides by constructive machine learning. external page ChemMedChem 13, 1300–1302.
Müller, A. T., Hiss, J. A. and Schneider, G. (2018) Recurrent neural network model for constructive peptide design. external page J. Chem. Inf. Model. 58, 472-479.
Gawehn, E., Hiss, J. A., Brown, J. B. and Schneider, G. (2018) Advancing drug discovery via GPU-based deep learning. external page Expert Opin. Drug Discov. 13, 579–582.
Fuchs, J. A., Grisoni, F., Kossenjans, M., Hiss, J. A. and Schneider, G. (2018) Lipophilicity prediction of peptides and peptide derivatives by consensus machine learning. external page Med. Chem. Commun. 9, 1538-1546.
Stutz, K., Müller, A. T., Hiss, J. A., Schneider, P., Blatter, M., Pfeiffer, B., Posselt, G., Kanfer, G., Kornmann, B., Wrede, P., Altmann, K.-H., Wessler, S. and Schneider, G. (2017) Peptide-membrane interaction between targeting and lysis. external page ACS Chem. Biol. 15, 2245–2249.
Pillong, M., Hiss, J. A., Schneider, P., Lin, Y.-C., Posselt, G., Pfeiffer, B., Blatter, M., Müller, A. T., Bachler, S., Neuhaus, C., Dittrich, P., Altmann, K.-H., Wessler, S. and Schneider, G. (2017) Rational design of membrane-pore-forming peptides.
external page Small 13, 1701316.
Müller A. T., Gabernet G., Hiss J. A., Schneider G. (2017) modlAMP: Python for antimicrobial peptides. Bioinformatics 2017.
Schneider, P., Müller, A. T., Gabernet, G., Button, A. L., Posselt, G., Wessler, S., Hiss, J. A. and Schneider, G. (2017) Hybrid network model for "deep learning" of chemical data: Application to antimicrobial peptides. external page Mol. Inf. 36, 1600011.
Button, A. L., Hiss, J. A., Schneider, P. and Schneider, G. (2017) Scoring of de novo designed chemical entities by macromolecular target prediction. external page Mol. Inf. 36, 1600110.
Armbrecht, L., Gabernet, G., Kurth, F., Hiss, J. A., Schneider, G. and Dittrich, P. S. (2017) Characterisation of anticancer peptides at the single-cell level. external page Lab Chip, accepted.
Gawehn, E., Hiss, J. A. and Schneider, G. (2016) Deep learning in drug discovery. external page Mol. Inf, 35, 3-14.
Schneider, P., Müller, A. T., Gabernet, G., Button, A. L., Posselt, G., Wessler, S., Hiss, J. A. and Schneider, G. (2016) Hybrid network model for "deep learning" of chemical data: Application to antimicrobial peptides. external page Mol. Inf. 36, 1600011.
Lin, Y.-C., Lim, Y. F., Russo, E., Schneider, P., Bolliger, L., Edenharter, A., Altmann, K.-H., Halin, C., Hiss, J. A. and Schneider, G. (2015) Multidimensional design of anticancer peptides. external page Angew. Chem. Int. Ed. 54, 10370–10374.
Hiss, J. A., Stutz, K., Posselt, G., Wessler, S. and Schneider, G. (2015) Attractors in sequence space: Peptide morphing by directed simulated evolution. external page Mol. Inf., in press.
Lin, Y.-C., Hiss, J. A., Schneider, P., Thelesklaf, P., Lim, Y. F., Pillong, M., Koehler, F. M., Dittrich, P., Halin, C., Wessler, S. and Schneider, G. (2014) Piloting the membrane-lytic activities of peptides by a self-organizing map. external page ChemBioChem 15, 2225-2231.
Hiss, J. A., Reutlinger, M., Koch, C. P., Perna, A. M., Schneider, P., Rodrigues, T., Haller, S., Folkers, G., Weber, L., Baleeiro, R. B., Walden, P., Wrede, P. and Schneider, G. external page Combinatorial chemistry by ant colony optimization. Future Med. Chem., 2014, 6, 267-280.
Schneider, G., Lin, Y.-C., Koch, C. P., Pillong, M., Perna, A. M., Reutlinger, M. and Hiss, J. A. external page Adaptive peptide design. Chimia 2013, 67, 859-863.
Heiber A., Kruse F., Pick C., Grüring C., Flemming S., Oberli A., Schoeler H., Retzlaff S., Mesén-Ramírez P., Hiss J.A., Kadekoppala M., Hecht L., Holder A.A., Gilberger T.W., Spielmann T. external page Identification of New PNEPs Indicates a Substantial Non-PEXEL Exportome and Underpins Common Features in Plasmodium falciparum Protein Export. PLoS Pathog. 2013, 9, e1003546.
Koch, C. P., Perna, A. M., Weissmüller, S., Bauer, S., Pillong, M., Baleeiro, R. B., Reutlinger, M., Folkers, G., Walden, P., Wrede, P., Hiss, J. A., Waibler, Z. and Schneider, G. external page Exhaustive proteome mining for functional MHC-I ligands. ACS Chem. Biol. 2013, 8, 1876-1881.
Koch C.P., Perna A.M., Pillong M., Todoroff N.K., Wrede P., Folkers G., Hiss J.A., Schneider G. external page Scrutinizing MHC-I Binding Peptides and Their Limits of Variation. PLoS Comput Biol. 2013 Jun;9(6):e1003088.
Koch, C. P., Pillong, M., Hiss, J. A. and Schneider, G. external page Computational resources for MHC ligand identification. Mol. Inf. 2013, 32, 326-336.
Pasini E.M., Braks J.A., Fonager J., Klop O., Aime E., Spaccapelo R., Otto T.D., Berriman M., Hiss J.A., Thomas A.W., Mann M., Janse C.J., Kocken C.H., Franke-Fayard B. external page Proteomic and genetic analyses demonstrate that Plasmodium berghei blood stages export a large and diverse repertoire of proteins. Mol Cell Proteomics. 2012, 12, 426-448 .
Geppert T., Bauer S., Hiss J.A., Conrad E., Reutlinger M., Schneider P., Weisel M., Pfeiffer B., Altmann K.H., Waibler Z., Schneider G. external page Immunosuppressive Small Molecule Discovered by Structure-Based Virtual Screening for Inhibitors of Protein-Protein Interactions. Angew Chem Int Ed Engl. 2012, 51, 258-261.
Fjell C.D. & Hiss J.A., Hancock R.E., Schneider G. external page Designing antimicrobial peptides: form follows function. Nat Rev Drug Discov. 2012,11, 37-51.
Reutlinger M., Guba W., Martin R.E., Alanine A.I., Hoffmann T., Klenner A., Hiss J.A., Schneider P., Schneider G. external page Neighborhood-Preserving Visualization of Adaptive Structure-Activity Landscapes: Application to Drug Discovery. Angew Chem Int Ed Engl. 2011, 50, 11633-11636.
Schneider G., Geppert T., Hartenfeller M., Reisen F., Klenner A., Reutlinger M., Hähnke V., Hiss J.A., Zettl H., Keppner S., Spänkuch B., Schneider P. external page Reaction-driven de novo design, synthesis and testing of potential type II kinase inhibitors. Future Med Chem. 2011, 3, 415-424.
Resch E. & Hiss J.A., Schreiner A., Schneider G., Starzinski-Powitz A. external page Long signal peptides of RGMa and DCBLD2 are dissectible into subdomains according to the NtraC model. Mol Biosyst. 2011, 7, 942-951.
Alamuri P., Löwer M., Hiss J.A., Himpsl S.D., Schneider G., Mobley H.L. external page Adhesion, Invasion, and Agglutination Mediated by Two Trimeric Autotransporters in Human Uropathogen Proteus mirabilis. Infect Immun. 2010, 78, 4882-4894.
Wisniewska J.M., Jäger N., Freier A., Losch F.O., Wiesmüller K-H., Walden P., Wrede P., Schneider G., Hiss J.A., external page MHC I Stabilizing Potential of Computer-Designed Octapeptides. J. Biomed. Biotechnol., 2010, 396847.
Jäger N. ,Wisniewska J.M., Hiss J.A., Freier A., Losch F.O., Walden P., Wrede P., Schneider G., external page Attractors in Sequence Space: Agent-Based Exploration of MHC I Binding Peptides. Molecular Informatics. 2010, 29, 65-74.
Hiss J.A., Hartenfeller M., Schneider G. external page Concepts and applications of “natural computing” techniques in de novo drug and peptide design. Curr. Pharm. Design. 2010, 16, 1656-1665.
Hiss J.A., Schneider G. external page Domain organization of long autotransporter signal sequences. Bioinform Biol Insights. 2009, 3, 189-204.
Hiss J.A., Schneider G. external page Architecture, function and prediction of long signal peptides. Brief Bioinform. 2009, 10, 569-578.
Spork S., Hiss J.A., Mandel K., Sommer M., Kooij T.W.A., Chu T., Schneider G., Maier U.G., Przyborski J.M. external page An unusual ERAD-like complex is targeted to the apicoplast of Plasmodium falciparum. Eukaryot Cell. 2009, 8, 1134-1145.
Hiss J.A. & Resch E., Schreiner A., Meissner M., Starzinski-Powitz A., Schneider G., external page Domain Organization of Long Signal Peptides of Single-Pass Integral Membrane Proteins Reveals Multiple Functional Capacity. PLoS ONE. 2008, 3, e2767.
Hiss J.A., Przyborski J.M., Schwarte F., Lingelbach K., Schneider G., external page The Plasmodium Export Element Revisited. 2008, PLoS ONE. 3, e1560.
Hiss J.A., Bredenbeck A., Losch F.O., Wrede P., Walden P., Schneider, G. external page Design of MHC I stabilizing peptides by agent-based exploration of sequence space. Protein Eng. Des. Sel. 2007, 20, 99-108.