Name
Affiliation
Papers
DAVID SEHNAL
National Centre for Biomolecular Research,Masaryk University,Brno,Czech Republic
20
Collaborators
Citations 
PageRank 
51
75
8.73
Referers 
Referees 
References 
293
581
144
Search Limit
100581
Title
Citations
PageRank
Year
BinaryCIF and CIFTools-Lightweight, efficient and extensible macromolecular data management.00.342020
ChannelsDB: database of biomacromolecular tunnels and pores.20.372018
Moleonline: A Web-Based Tool For Analyzing Channels, Tunnels And Pores (2018 Update)20.412018
Pdbe: Towards Reusable Data Delivery Infrastructure At Protein Data Bank In Europe90.582018
Mol* - Towards a Common Library and Tools for Web Molecular Graphics.00.342018
PatternQuery: web application for fast detection of biomacromolecular structural patterns in the entire Protein Data Bank30.392015
AtomicChargeCalculator: interactive web-based calculation of atomic charges in large biomolecular complexes and drug-like molecules.10.352015
ValidatorDB: database of up-to-date validation results for ligands and non-standard residues from the Protein Data Bank.30.392015
Consistency of sugar structures and their annotation in the PDB.00.342014
MotiveValidator: interactive web-based validation of ligand and residue structure in biomolecular complexes.20.392014
Anatomy of enzyme channels.90.472014
Predicting pKa values from EEM atomic charges.00.342013
MOLE 2.0: advanced approach for analysis of biomacromolecular channels.230.912013
SiteBinder: An Improved Approach for Comparing Multiple Protein Structural Motifs.40.532012
QSPR designer - employ your own descriptors in the automated QSAR modeling process.00.342012
Moleonline 2.0: Interactive Web-Based Analysis Of Biomacromolecular Channels150.872012
Searching for tunnels of proteins - comparison of approaches and available software tools.00.342012
SiteBinder - an improved approach for comparing multiple protein structural motifs. Case studies on biologically important motifs.10.352012
QSPR designer - a program to design and evaluate QSPR models. Case study on pKa prediction.10.372011
Predicting pK(a) Values of Substituted Phenols from Atomic Charges: Comparison of Different Quantum Mechanical Methods and Charge Distribution Schemes00.342011