Jens Meiler

Orcid: 0000-0001-8945-193X

According to our database1, Jens Meiler authored at least 49 papers between 2000 and 2024.

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

Timeline

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Bibliography

2024
Recent Advances in Automated Structure-Based De Novo Drug Design.
J. Chem. Inf. Model., 2024

2023
Docking cholesterol to integral membrane proteins with Rosetta.
PLoS Comput. Biol., March, 2023

Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Computational epitope mapping of class I fusion proteins using low complexity supervised learning methods.
PLoS Comput. Biol., December, 2022

Predicting the functional impact of KCNQ1 variants with artificial neural networks.
PLoS Comput. Biol., 2022

2021
Rosetta design with co-evolutionary information retains protein function.
PLoS Comput. Biol., 2021

Prediction of amphipathic helix - membrane interactions with Rosetta.
PLoS Comput. Biol., 2021

Computational redesign of a fluorogen activating protein with Rosetta.
PLoS Comput. Biol., 2021

Methodology for rigorous modeling of protein conformational changes by Rosetta using DEER distance restraints.
PLoS Comput. Biol., 2021

BCL: : Conf: Improved Open-Source Knowledge-Based Conformation Sampling Using the Crystallography Open Database.
J. Chem. Inf. Model., 2021

General Purpose Structure-Based Drug Discovery Neural Network Score Functions with Human-Interpretable Pharmacophore Maps.
J. Chem. Inf. Model., 2021

2020
Multi-state design of flexible proteins predicts sequences optimal for conformational change.
PLoS Comput. Biol., 2020

Better together: Elements of successful scientific software development in a distributed collaborative community.
PLoS Comput. Biol., 2020

Improving homology modeling from low-sequence identity templates in Rosetta: A case study in GPCRs.
PLoS Comput. Biol., 2020

Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions.
CoRR, 2020

PyIR: a scalable wrapper for processing billions of immunoglobulin and T cell receptor sequences using IgBLAST.
BMC Bioinform., 2020

Foldit Drug Design Game Usability Study: Comparison of Citizen and Expert Scientists.
Proceedings of the MIG '20: Motion, 2020

3D Deep Learning for Biological Function Prediction from Physical Fields.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
BCL: : MolAlign: Three-Dimensional Small Molecule Alignment for Pharmacophore Mapping.
J. Chem. Inf. Model., 2019

BCL: : Mol2D - a robust atom environment descriptor for QSAR modeling and lead optimization.
J. Comput. Aided Mol. Des., 2019

Immune repertoire fingerprinting by principal component analysis reveals shared features in subject groups with common exposures.
BMC Bioinform., 2019

2018
Integrating linear optimization with structural modeling to increase HIV neutralization breadth.
PLoS Comput. Biol., 2018

Predictive Power of Different Types of Experimental Restraints in Small Molecule Docking: A Review.
J. Chem. Inf. Model., 2018

Holistic Approach to Partial Covalent Interactions in Protein Structure Prediction and Design with Rosetta.
J. Chem. Inf. Model., 2018

Three-dimensional spatial analysis of missense variants in RTEL1 identifies pathogenic variants in patients with Familial Interstitial Pneumonia.
BMC Bioinform., 2018

2017
Consensus queries in ligand-based virtual screening experiments.
J. Cheminformatics, 2017

2016
Accurate Prediction of Contact Numbers for Multi-Spanning Helical Membrane Proteins.
J. Chem. Inf. Model., 2016

Autocorrelation descriptor improvements for QSAR: 2DA_Sign and 3DA_Sign.
J. Comput. Aided Mol. Des., 2016

Improving quantitative structure-activity relationship models using Artificial Neural Networks trained with dropout.
J. Comput. Aided Mol. Des., 2016

Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Design of Protein Multi-specificity Using an Independent Sequence Search Reduces the Barrier to Low Energy Sequences.
PLoS Comput. Biol., 2015

BCL: : Conf: small molecule conformational sampling using a knowledge based rotamer library.
J. Cheminformatics, 2015

2013
Human Germline Antibody Gene Segments Encode Polyspecific Antibodies.
PLoS Comput. Biol., 2013

Simultaneous prediction of binding free energy and specificity for PDZ domain-peptide interactions.
J. Comput. Aided Mol. Des., 2013

Computational determination of the orientation of a heat repeat-like domain of DNA-PKcs.
Comput. Biol. Chem., 2013

2012
GPU-accelerated machine learning techniques enable QSAR modeling of large HTS data.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

Bcl∷ChemInfo - Qualitative analysis of machine learning models for activation of HSD involved in Alzheimer's Disease.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

2011
Poster: GPU-accelerated rigid body fitting of atomic structures into electron density maps.
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

Poster: GPU-accelerated artificial neural network for QSAR modeling.
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

Bcl: : Cluster: A method for clustering biological molecules coupled with visualization in the Pymol Molecular Graphics System.
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

Comparative analysis of machine learning techniques for the prediction of logP.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2011

2010
BCL: : Contact-Low Confidence Fold Recognition Hits Boost Protein Contact Prediction and <i>De Novo</i> Structure Determination.
J. Comput. Biol., 2010

2009
A Correspondence Between Solution-State Dynamics of an Individual Protein and the Sequence and Conformational Diversity of its Family.
PLoS Comput. Biol., 2009

Improved prediction of trans-membrane spans in proteins using an artificial neural network.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009

Application of machine learning approaches on quantitative structure activity relationships.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009

2008
Small Molecules as Rotamers: Generation and Docking in RosettaLigand.
Proceedings of the German Conference on Bioinformatics, 2008

2002
Validation of Structural Proposals by Substructure Analysis and 13C NMR Chemical Shift Prediction.
J. Chem. Inf. Comput. Sci., 2002

2001
Automated Structure Elucidation of Organic Molecules from 13C NMR Spectra Using Genetic Algorithms and Neural Networks.
J. Chem. Inf. Comput. Sci., 2001

2000
Fast Determination of 13C NMR Chemical Shifts Using Artificial Neural Networks.
J. Chem. Inf. Comput. Sci., 2000


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