Author of the publication

Performance of HADDOCK and a simple contact-based protein-ligand binding affinity predictor in the D3R Grand Challenge 2.

, , , , , , , , , , , , and . J. Comput. Aided Mol. Des., 32 (1): 175-185 (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Performance of HADDOCK and a simple contact-based protein-ligand binding affinity predictor in the D3R Grand Challenge 2., , , , , , , , , and 3 other author(s). J. Comput. Aided Mol. Des., 32 (1): 175-185 (2018)Protein-protein docking dealing with the unknown., , and . J. Comput. Chem., 31 (2): 317-342 (2010)Ligand-Induced Structural Changes in TEM-1 Probed by Molecular Dynamics and Relative Binding Free Energy Calculations., , , and . J. Chem. Inf. Model., 53 (10): 2648-2658 (2013)New designs for MRI contrast agents., , , , , , , , , and 12 other author(s). J. Comput. Aided Mol. Des., 17 (7): 463-473 (2003)DELFOS - drug efficacy leveraging forked and specialized networks - benchmarking scRNA-seq data in multi-omics-based prediction of cancer sensitivity., , and . Bioinform., (October 2023)Predicting Hot Spots Using a Deep Neural Network Approach., , , , and . Artificial Neural Networks, 3rd Edition, volume 2190 of Methods in Molecular Biology, Springer, (2021)Extending the applicability of the O-ring theory to protein-DNA complexes., , and . Comput. Biol. Chem., (2013)Computational alanine scanning mutagenesis - An improved methodological approach., , and . J. Comput. Chem., 28 (3): 644-654 (2007)SicknessMiner: a deep-learning-driven text-mining tool to abridge disease-disease associations., , , and . BMC Bioinform., 22 (1): 482 (2021)Understanding the Binding Specificity of G-Protein Coupled Receptors toward G-Proteins and Arrestins: Application to the Dopamine Receptor Family., , , , , , , , , and . J. Chem. Inf. Model., 60 (8): 3969-3984 (2020)