Johannes Kirchmair

Orcid: 0000-0003-2667-5877

According to our database1, Johannes Kirchmair authored at least 34 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation.
J. Chem. Inf. Model., 2024

2023
School of cheminformatics in Latin America.
J. Cheminformatics, December, 2023

DNN-PP: A novel Deep Neural Network approach and its applicability in drug-related property prediction.
Expert Syst. Appl., March, 2023

2021
ChemBioSim: Enhancing Conformal Prediction of In Vivo Toxicity by Use of Predicted Bioactivities.
J. Chem. Inf. Model., 2021

Computational Applications in Secondary Metabolite Discovery (CAiSMD): an online workshop.
J. Cheminformatics, 2021

Rationality over fashion and hype in drug design.
F1000Research, 2021

2020
Scope of 3D Shape-Based Approaches in Predicting the Macromolecular Targets of Structurally Complex Small Molecules Including Natural Products and Macrocyclic Ligands.
J. Chem. Inf. Model., 2020

NERDD: a web portal providing access to in silico tools for drug discovery.
Bioinform., 2020

Validation strategies for target prediction methods.
Briefings Bioinform., 2020

2019
Hit Dexter 2.0: Machine-Learning Models for the Prediction of Frequent Hitters.
J. Chem. Inf. Model., 2019

FAME 3: Predicting the Sites of Metabolism in Synthetic Compounds and Natural Products for Phase 1 and Phase 2 Metabolic Enzymes.
J. Chem. Inf. Model., 2019

Conformator: A Novel Method for the Generation of Conformer Ensembles.
J. Chem. Inf. Model., 2019

2018
Characterization of the Chemical Space of Known and Readily Obtainable Natural Products.
J. Chem. Inf. Model., 2018

2017
Benchmarking Commercial Conformer Ensemble Generators.
J. Chem. Inf. Model., November, 2017

Data Resources for the Computer-Guided Discovery of Bioactive Natural Products.
J. Chem. Inf. Model., September, 2017

FAME 2: Simple and Effective Machine Learning Model of Cytochrome P450 Regioselectivity.
J. Chem. Inf. Model., August, 2017

Alignment-Based Prediction of Sites of Metabolism.
J. Chem. Inf. Model., June, 2017

High-Quality Dataset of Protein-Bound Ligand Conformations and Its Application to Benchmarking Conformer Ensemble Generators.
J. Chem. Inf. Model., 2017

2014
Cytochrome P450 site of metabolism prediction from 2D topological fingerprints using GPU accelerated probabilistic classifiers.
J. Cheminformatics, 2014

2013
FAst MEtabolizer (FAME): A Rapid and Accurate Predictor of Sites of Metabolism in Multiple Species by Endogenous Enzymes.
J. Chem. Inf. Model., 2013

How Do Metabolites Differ from Their Parent Molecules and How Are They Excreted?
J. Chem. Inf. Model., 2013

Quantifying the shifts in physicochemical property space introduced by the metabolism of small organic molecules.
J. Cheminformatics, 2013

2012
Computational Prediction of Metabolism: Sites, Products, SAR, P450 Enzyme Dynamics, and Mechanisms.
J. Chem. Inf. Model., 2012

2010
One Concept, Three Implementations of 3D Pharmacophore-Based Virtual Screening: Distinct Coverage of Chemical Search Space.
J. Chem. Inf. Model., 2010

2009
Critical Comparison of Virtual Screening Methods against the MUV Data Set.
J. Chem. Inf. Model., 2009

Hydrogen-Bonding Patterns of Minor Groove-Binder-DNA Complexes Reveal Criteria for Discovery of New Scaffolds.
J. Chem. Inf. Model., 2009

How To Optimize Shape-Based Virtual Screening: Choosing the Right Query and Including Chemical Information.
J. Chem. Inf. Model., 2009

2008
Discovery of Novel Cathepsin S Inhibitors by Pharmacophore-Based Virtual High-Throughput Screening.
J. Chem. Inf. Model., 2008

Evaluation of the performance of 3D virtual screening protocols: RMSD comparisons, enrichment assessments, and decoy selection - What can we learn from earlier mistakes?
J. Comput. Aided Mol. Des., 2008

2007
CAESAR: A New Conformer Generation Algorithm Based on Recursive Buildup and Local Rotational Symmetry Consideration.
J. Chem. Inf. Model., 2007

Fast and Efficient in Silico 3D Screening: Toward Maximum Computational Efficiency of Pharmacophore-Based and Shape-Based Approaches.
J. Chem. Inf. Model., 2007

Pharmacophore modeling and parallel screening for PPAR ligands.
J. Comput. Aided Mol. Des., 2007

2006
Comparative Performance Assessment of the Conformational Model Generators Omega and Catalyst: A Large-Scale Survey on the Retrieval of Protein-Bound Ligand Conformations.
J. Chem. Inf. Model., 2006

2005
Comparative Analysis of Protein-Bound Ligand Conformations with Respect to Catalyst's Conformational Space Subsampling Algorithms.
J. Chem. Inf. Model., 2005


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