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Johannes Kirchmair

Chemiker

Name	Johannes Kirchmair
Zeit	2009- (Wirkungsdaten)
Ort	Zürich (Wirkungsort) Schweiz
Geschlecht	männlich
Beruf	Chemiker (charakteristischer Beruf) Hochschullehrer
Beziehung	Eidgenössische Technische Hochschule Zürich
Weitere Angaben	Method development - Development of methods for predicting xenobiotic metabolism - Development and optimisation of computational methods for lead identification - Conformational space sampling Method application - Design and optimisation of anti-cancer drugs and anti-virals - Natural products as drug leads - Development of food additives, nutrients and nutraceuticals - Design and optimisation of crop protection agents - Design and optimisation of chemical chaperones for the treatment of genetic diseases
Quelle	Internet
Datensatztyp	Person
GND-Nummer	1057900893
Datensatz-ID	1057900893
Beteiligt an alle anzeigen Chemical space exploration with Molpher: Generating and assessing a glucocorticoid receptor ligand library Epstein-Barr virus-driven B cell lymphoma mediated by a direct LMP1-TRAF6 complex Relevance and Potential Applications of C2‐Carboxylated 1,3‐Azoles Development and implementation of in silico molecule fragmentation algorithms for the cheminformatics analysis of natural product spaces In Silico and In Vitro Approach to Assess Direct Allosteric AMPK Activators from Nature Computational Applications in Secondary Metabolite Discovery (CAiSMD): an online workshop HDAC3i‐Finder: A Machine Learning‐based Computational Tool to Screen for HDAC3 Inhibitors Cheminformatics in Natural Product‐based Drug Discovery ALADDIN: Docking Approach Augmented by Machine Learning for Protein Structure Selection Yields Superior Virtual Screening Performance INH14, a Small‐Molecule Urea Derivative, Inhibits the IKKα/β‐Dependent TLR Inflammatory Response Cover Feature: INH14, a Small‐Molecule Urea Derivative, Inhibits the IKKα/β‐Dependent TLR Inflammatory Response (ChemBioChem 5/2019) Hit Dexter: A Machine‐Learning Model for the Prediction of Frequent Hitters Drug metabolism prediction Drug Metabolism Prediction Drug Metabolism Prediction

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Johannes Kirchmair

Chemical space exploration with Molpher: Generating and assessing a glucocorticoid receptor ligand library

Epstein-Barr virus-driven B cell lymphoma mediated by a direct LMP1-TRAF6 complex

Relevance and Potential Applications of C2‐Carboxylated 1,3‐Azoles

Development and implementation of in silico molecule fragmentation algorithms for the cheminformatics analysis of natural product spaces

In Silico and In Vitro Approach to Assess Direct Allosteric AMPK Activators from Nature

Computational Applications in Secondary Metabolite Discovery (CAiSMD): an online workshop

HDAC3i‐Finder: A Machine Learning‐based Computational Tool to Screen for HDAC3 Inhibitors

Cheminformatics in Natural Product‐based Drug Discovery

ALADDIN: Docking Approach Augmented by Machine Learning for Protein Structure Selection Yields Superior Virtual Screening Performance

INH14, a Small‐Molecule Urea Derivative, Inhibits the IKKα/β‐Dependent TLR Inflammatory Response

Cover Feature: INH14, a Small‐Molecule Urea Derivative, Inhibits the IKKα/β‐Dependent TLR Inflammatory Response (ChemBioChem 5/2019)

Hit Dexter: A Machine‐Learning Model for the Prediction of Frequent Hitters

Drug metabolism prediction

Drug Metabolism Prediction

Drug Metabolism Prediction