List of works - Jan Alexander Hiss

Adaptive peptide design.

scientific article published in January 2013

Advancing drug discovery via GPU-based deep learning

scientific article published on 18 April 2018

An unusual ERAD-like complex is targeted to the apicoplast of Plasmodium falciparum

scientific article (publication date: August 2009)

Architecture, function and prediction of long signal peptides.

scientific article published on 17 June 2009

Attractors in Sequence Space: Agent-Based Exploration of MHC I Binding Peptides

scientific article published on January 2010

Attractors in Sequence Space: Peptide Morphing by Directed Simulated Evolution

scientific article

Characterisation of anticancer peptides at the single-cell level.

scientific article

Combinatorial chemistry by ant colony optimization.

scientific article

Computational Resources for MHC Ligand Identification

scientific article

Concepts and applications of "natural computing" techniques in de novo drug and peptide design.

scientific article published on May 2010

De novo design of anticancer peptides by ensemble artificial neural networks

scientific article published on 05 April 2019

Deep Learning in Drug Discovery.

scientific article

Designing anticancer peptides by constructive machine learning.

scientific article published on 21 April 2018

Designing antimicrobial peptides: form follows function.

scientific article published on 16 December 2011

Domain organization of long autotransporter signal sequences.

scientific article published on 14 December 2009

Domain organization of long signal peptides of single-pass integral membrane proteins reveals multiple functional capacity

scientific article

Exhaustive proteome mining for functional MHC-I ligands

scientific article published on 17 June 2013

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

scientific article

Identification of Chemokine Ligands by Biochemical Fragmentation and Simulated Peptide Evolution

scientific article published on 15 April 2019

Identification of new PNEPs indicates a substantial non-PEXEL exportome and underpins common features in Plasmodium falciparum protein export

scientific article (publication date: 2013)

Immunosuppressive Small Molecule Discovered by Structure‐Based Virtual Screening for Inhibitors of Protein–Protein Interactions ⬇️

scientific article published on November 16, 2011

In silico design and optimization of selective membranolytic anticancer peptides

scientific article published on 02 August 2019

Lipophilicity prediction of peptides and peptide derivatives by consensus machine learning

scientific article published on 22 August 2018

MHC I stabilizing potential of computer-designed octapeptides.

scientific article published on 25 May 2010

Multidimensional Design of Anticancer Peptides.

scientific article published on 26 June 2015

Neighborhood-Preserving Visualization of Adaptive Structure-Activity Landscapes: Application to Drug Discovery

scientific article published on 07 October 2011

Peptide-Membrane Interaction between Targeting and Lysis

scientific article published in August 2017

Piloting the membranolytic activities of peptides with a self-organizing map.

scientific article published on 9 September 2014

Prospective de novo drug design with deep interactome learning

scientific article published in 2024

Proteomic and genetic analyses demonstrate that Plasmodium berghei blood stages export a large and diverse repertoire of proteins

scientific article published on 28 November 2012

Quantification of hydrolyzed peptides and proteins by amino acid fluorescence

scientific article published on 16 July 2018

Rational Design of Membrane-Pore-Forming Peptides

scientific article

Reaction-driven de novo design, synthesis and testing of potential type II kinase inhibitors.

scientific article

Recurrent Neural Network Model for Constructive Peptide Design

scientific article

Scrutinizing MHC-I binding peptides and their limits of variation

scientific article

Simulated Molecular Evolution for Anticancer Peptide Design

Sparse Neural Network Models of Antimicrobial Peptide-Activity Relationships

scientific article published on 11 July 2016

The N-terminal extension of the P. falciparum GBP130 signal peptide is irrelevant for signal sequence function

scientific article published on 17 July 2017

The Plasmodium export element revisited

scientific article

modlAMP: Python for antimicrobial peptides

scientific article

List of works by Jan Alexander Hiss

Adaptive peptide design.

Advancing drug discovery via GPU-based deep learning

An unusual ERAD-like complex is targeted to the apicoplast of Plasmodium falciparum

Architecture, function and prediction of long signal peptides.

Attractors in Sequence Space: Agent-Based Exploration of MHC I Binding Peptides

Attractors in Sequence Space: Peptide Morphing by Directed Simulated Evolution

Characterisation of anticancer peptides at the single-cell level.

Combinatorial chemistry by ant colony optimization.

Computational Resources for MHC Ligand Identification

Concepts and applications of "natural computing" techniques in de novo drug and peptide design.

De novo design of anticancer peptides by ensemble artificial neural networks

Deep Learning in Drug Discovery.

Designing anticancer peptides by constructive machine learning.

Designing antimicrobial peptides: form follows function.

Domain organization of long autotransporter signal sequences.

Domain organization of long signal peptides of single-pass integral membrane proteins reveals multiple functional capacity

Exhaustive proteome mining for functional MHC-I ligands

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

Identification of Chemokine Ligands by Biochemical Fragmentation and Simulated Peptide Evolution

Identification of new PNEPs indicates a substantial non-PEXEL exportome and underpins common features in Plasmodium falciparum protein export

Immunosuppressive Small Molecule Discovered by Structure‐Based Virtual Screening for Inhibitors of Protein–Protein Interactions ⬇️

In silico design and optimization of selective membranolytic anticancer peptides

Lipophilicity prediction of peptides and peptide derivatives by consensus machine learning

MHC I stabilizing potential of computer-designed octapeptides.

Multidimensional Design of Anticancer Peptides.

Neighborhood-Preserving Visualization of Adaptive Structure-Activity Landscapes: Application to Drug Discovery

Peptide-Membrane Interaction between Targeting and Lysis

Piloting the membranolytic activities of peptides with a self-organizing map.

Prospective de novo drug design with deep interactome learning

Proteomic and genetic analyses demonstrate that Plasmodium berghei blood stages export a large and diverse repertoire of proteins

Quantification of hydrolyzed peptides and proteins by amino acid fluorescence

Rational Design of Membrane-Pore-Forming Peptides

Reaction-driven de novo design, synthesis and testing of potential type II kinase inhibitors.

Recurrent Neural Network Model for Constructive Peptide Design

Scrutinizing MHC-I binding peptides and their limits of variation

Simulated Molecular Evolution for Anticancer Peptide Design

Sparse Neural Network Models of Antimicrobial Peptide-Activity Relationships

The N-terminal extension of the P. falciparum GBP130 signal peptide is irrelevant for signal sequence function

The Plasmodium export element revisited

modlAMP: Python for antimicrobial peptides