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Chemmedchem
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April 22, 2018
Designing Anticancer Peptides by Constructive Machine Learning
Francesca Grisoni, Claudia S Neuhaus, Gisela Gabernet, et al.
Infection and Immunity
|
September 1, 2010
Adhesion, invasion, and agglutination mediated by two trimeric autotransporters in the human uropathogen Proteus mirabilis
Praveen Alamuri, Martin Löwer, Jan A Hiss, et al.
Angewandte Chemie (International Ed. in English)
|
December 4, 2018
Simulated Molecular Evolution for Anticancer Peptide Design
Claudia S Neuhaus, Gisela Gabernet, Christian Steuer, et al.
Journal of Molecular Modeling
|
April 7, 2019
De novo design of anticancer peptides by ensemble artificial neural networks
Francesca Grisoni, Claudia S Neuhaus, Miyabi Hishinuma, et al.
Molecular Informatics
|
November 22, 2016
Sparse Neural Network Models of Antimicrobial Peptide-Activity Relationships
Alex T Müller, Aral C Kaymaz, Gisela Gabernet, et al.
Chimia
|
March 6, 2014
Adaptive peptide design
Gisbert Schneider, Yen-Chu Lin, Christian P Koch, et al.
RSC Advances
|
November 21, 2024
Combining <i>de novo</i> molecular design with semiempirical protein-ligand binding free energy calculation
Michael Iff, Kenneth Atz, Clemens Isert, et al.
Molecular Informatics
|
January 27, 2017
Hybrid Network Model for "Deep Learning" of Chemical Data: Application to Antimicrobial Peptides
Petra Schneider, Alex T Müller, Gisela Gabernet, et al.
Molecular Informatics
|
July 28, 2016
Attractors in Sequence Space: Agent-Based Exploration of MHC I Binding Peptides
Natalie Jäger, Joanna M Wisniewska, Jan A Hiss, et al.
Scientific Reports
|
August 4, 2019
In silico design and optimization of selective membranolytic anticancer peptides
Gisela Gabernet, Damian Gautschi, Alex T Müller, et al.
Page
of 5
Search research articles
Search
Showing results (21-30 of 47) with videos related to
Sort By:
Page
of 5
Chemmedchem
|
April 22, 2018
Designing Anticancer Peptides by Constructive Machine Learning
Francesca Grisoni, Claudia S Neuhaus, Gisela Gabernet, et al.
Infection and Immunity
|
September 1, 2010
Adhesion, invasion, and agglutination mediated by two trimeric autotransporters in the human uropathogen Proteus mirabilis
Praveen Alamuri, Martin Löwer, Jan A Hiss, et al.
Angewandte Chemie (International Ed. in English)
|
December 4, 2018
Simulated Molecular Evolution for Anticancer Peptide Design
Claudia S Neuhaus, Gisela Gabernet, Christian Steuer, et al.
Journal of Molecular Modeling
|
April 7, 2019
De novo design of anticancer peptides by ensemble artificial neural networks
Francesca Grisoni, Claudia S Neuhaus, Miyabi Hishinuma, et al.
Molecular Informatics
|
November 22, 2016
Sparse Neural Network Models of Antimicrobial Peptide-Activity Relationships
Alex T Müller, Aral C Kaymaz, Gisela Gabernet, et al.
Chimia
|
March 6, 2014
Adaptive peptide design
Gisbert Schneider, Yen-Chu Lin, Christian P Koch, et al.
RSC Advances
|
November 21, 2024
Combining <i>de novo</i> molecular design with semiempirical protein-ligand binding free energy calculation
Michael Iff, Kenneth Atz, Clemens Isert, et al.
Molecular Informatics
|
January 27, 2017
Hybrid Network Model for "Deep Learning" of Chemical Data: Application to Antimicrobial Peptides
Petra Schneider, Alex T Müller, Gisela Gabernet, et al.
Molecular Informatics
|
July 28, 2016
Attractors in Sequence Space: Agent-Based Exploration of MHC I Binding Peptides
Natalie Jäger, Joanna M Wisniewska, Jan A Hiss, et al.
Scientific Reports
|
August 4, 2019
In silico design and optimization of selective membranolytic anticancer peptides
Gisela Gabernet, Damian Gautschi, Alex T Müller, et al.
Page
of 5