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International Journal of Molecular Sciences
|
March 31, 2018
MetStabOn-Online Platform for Metabolic Stability Predictions
Sabina Podlewska, Rafał Kafel
Molecular Diversity
|
February 11, 2017
Practical application of the Average Information Content Maximization (AIC-MAX) algorithm: selection of the most important structural features for serotonin receptor ligands
Dawid Warszycki, Marek Śmieja, Rafał Kafel
Molecules (Basel, Switzerland)
|
February 15, 2022
Hydrogen Bonds with Fluorine in Ligand-Protein Complexes-the PDB Analysis and Energy Calculations
Wojciech Pietruś, Rafał Kafel, Andrzej J Bojarski, et al.
Journal of Molecular Modeling
|
April 8, 2019
Recognition of repulsive and attractive regions of selected serotonin receptor binding site using FMO-EDA approach
Paweł Śliwa, Rafał Kurczab, Rafał Kafel, et al.
Journal of Chemical Information and Modeling
|
February 5, 2017
Creating the New from the Old: Combinatorial Libraries Generation with Machine-Learning-Based Compound Structure Optimization
Sabina Podlewska, Wojciech M Czarnecki, Rafał Kafel, et al.
Journal of Chemical Information and Modeling
|
September 22, 2021
Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design
Dawid Warszycki, Łukasz Struski, Marek Śmieja, et al.
Journal of Chemical Information and Modeling
|
October 24, 2018
Salt Bridge in Ligand-Protein Complexes-Systematic Theoretical and Statistical Investigations
Rafał Kurczab, Paweł Śliwa, Krzysztof Rataj, et al.
Journal of Chemical Information and Modeling
|
October 3, 2015
Ligand-Based Virtual Screening in a Search for Novel Anti-HIV-1 Chemotypes
Agata Kurczyk, Dawid Warszycki, Robert Musiol, et al.
Journal of Chemical Information and Modeling
|
March 26, 2015
Multi-Step Protocol for Automatic Evaluation of Docking Results Based on Machine Learning Methods--A Case Study of Serotonin Receptors 5-HT(6) and 5-HT(7)
Sabina Smusz, Stefan Mordalski, Jagna Witek, et al.
Plos One
|
December 25, 2013
A linear combination of pharmacophore hypotheses as a new tool in search of new active compounds--an application for 5-HT1A receptor ligands
Dawid Warszycki, Stefan Mordalski, Kurt Kristiansen, et al.
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Search research articles
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Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
International Journal of Molecular Sciences
|
March 31, 2018
MetStabOn-Online Platform for Metabolic Stability Predictions
Sabina Podlewska, Rafał Kafel
Molecular Diversity
|
February 11, 2017
Practical application of the Average Information Content Maximization (AIC-MAX) algorithm: selection of the most important structural features for serotonin receptor ligands
Dawid Warszycki, Marek Śmieja, Rafał Kafel
Molecules (Basel, Switzerland)
|
February 15, 2022
Hydrogen Bonds with Fluorine in Ligand-Protein Complexes-the PDB Analysis and Energy Calculations
Wojciech Pietruś, Rafał Kafel, Andrzej J Bojarski, et al.
Journal of Molecular Modeling
|
April 8, 2019
Recognition of repulsive and attractive regions of selected serotonin receptor binding site using FMO-EDA approach
Paweł Śliwa, Rafał Kurczab, Rafał Kafel, et al.
Journal of Chemical Information and Modeling
|
February 5, 2017
Creating the New from the Old: Combinatorial Libraries Generation with Machine-Learning-Based Compound Structure Optimization
Sabina Podlewska, Wojciech M Czarnecki, Rafał Kafel, et al.
Journal of Chemical Information and Modeling
|
September 22, 2021
Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design
Dawid Warszycki, Łukasz Struski, Marek Śmieja, et al.
Journal of Chemical Information and Modeling
|
October 24, 2018
Salt Bridge in Ligand-Protein Complexes-Systematic Theoretical and Statistical Investigations
Rafał Kurczab, Paweł Śliwa, Krzysztof Rataj, et al.
Journal of Chemical Information and Modeling
|
October 3, 2015
Ligand-Based Virtual Screening in a Search for Novel Anti-HIV-1 Chemotypes
Agata Kurczyk, Dawid Warszycki, Robert Musiol, et al.
Journal of Chemical Information and Modeling
|
March 26, 2015
Multi-Step Protocol for Automatic Evaluation of Docking Results Based on Machine Learning Methods--A Case Study of Serotonin Receptors 5-HT(6) and 5-HT(7)
Sabina Smusz, Stefan Mordalski, Jagna Witek, et al.
Plos One
|
December 25, 2013
A linear combination of pharmacophore hypotheses as a new tool in search of new active compounds--an application for 5-HT1A receptor ligands
Dawid Warszycki, Stefan Mordalski, Kurt Kristiansen, et al.
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of 2