The manuscript, supporting data and codes for the manuscript: "Machine learning analysis of tauRAMD trajectories to decipher molecular determinants of drug-target residence times" of Kokh DB, Kaufman T, Kister B, Wade RC., Front. Mol. Biosci., 24 May 2019 | https://doi.org/10.3389/fmolb.2019.00036 fmolb-06-00036.pdf - paper HSP90.tar.gz - topology and coordinate files for all complexes used in RAMD simulations ML-HSP90-v2.1.tar.gz - scripts and input data for ML analysis of ligand dissociation reported in the pape
Drug discovery is no longer relying on the one gene-one disease paradigm nor on target-based screeni...
The determination of drug residence times, which define the time an inhibitor is in complex with its...
Data set for for validation of the Protein-Ligand Interaction Fingerprints, which includes examples...
supporting data and software associated with the paper "Machine learning analysis of tauRAMD trajec...
Supporting data and code for the manuscript: "Machine learning analysis of tauRAMD trajectories to ...
Drug-target residence times can impact drug efficacy and safety, and are therefore increasingly bein...
Drug-target residence times can impact drug efficacy and safety, and are therefore increasingly bein...
<div><p>Background</p><p>Alzheimer’s disease, a lethal neurodegenerative disorder that leads to prog...
This is the data and assosiated in-house code for the paper: Chemistrees: Data-Driven Identificatio...
Data and Python scripts used for generation and analysis of RAMD dissociation trajectories for sev...
© 2019 Elsevier Ltd. All rights reserved.The discovery of macromolecular targets for bioactive agent...
The determination of drug residence times, which define the time an inhibitor is in complex with its...
In drug discovery, compounds with well-defined activity against multiple targets (multitarget compou...
The discovery of macromolecular targets for bioactive agents is currently a bottleneck for the infor...
A multidimensional analysis of machine learning methods performance in the classification of bioacti...
Drug discovery is no longer relying on the one gene-one disease paradigm nor on target-based screeni...
The determination of drug residence times, which define the time an inhibitor is in complex with its...
Data set for for validation of the Protein-Ligand Interaction Fingerprints, which includes examples...
supporting data and software associated with the paper "Machine learning analysis of tauRAMD trajec...
Supporting data and code for the manuscript: "Machine learning analysis of tauRAMD trajectories to ...
Drug-target residence times can impact drug efficacy and safety, and are therefore increasingly bein...
Drug-target residence times can impact drug efficacy and safety, and are therefore increasingly bein...
<div><p>Background</p><p>Alzheimer’s disease, a lethal neurodegenerative disorder that leads to prog...
This is the data and assosiated in-house code for the paper: Chemistrees: Data-Driven Identificatio...
Data and Python scripts used for generation and analysis of RAMD dissociation trajectories for sev...
© 2019 Elsevier Ltd. All rights reserved.The discovery of macromolecular targets for bioactive agent...
The determination of drug residence times, which define the time an inhibitor is in complex with its...
In drug discovery, compounds with well-defined activity against multiple targets (multitarget compou...
The discovery of macromolecular targets for bioactive agents is currently a bottleneck for the infor...
A multidimensional analysis of machine learning methods performance in the classification of bioacti...
Drug discovery is no longer relying on the one gene-one disease paradigm nor on target-based screeni...
The determination of drug residence times, which define the time an inhibitor is in complex with its...
Data set for for validation of the Protein-Ligand Interaction Fingerprints, which includes examples...