| Bcl::Conf: Improved Open-Source Knowledge-Based Conformation Sampling Using The Crystallography Open Database | 0 | 0.34 | 2021 |
| Foldit Drug Design Game Usability Study: Comparison of Citizen and Expert Scientists | 0 | 0.34 | 2020 |
| BCL::Mol2D-a robust atom environment descriptor for QSAR modeling and lead optimization. | 0 | 0.34 | 2019 |
| BCL::MolAlign: Three-Dimensional Small Molecule Alignment for Pharmacophore Mapping. | 0 | 0.34 | 2019 |
| The Predictive Power of Different Types of Experimental Restraints in Small Molecule Docking: A Review. | 0 | 0.34 | 2018 |
| A Holistic Approach to Partial Covalent Interactions in Protein Structure Prediction and Design with Rosetta. | 0 | 0.34 | 2018 |
| Consensus queries in ligand-based virtual screening experiments. | 2 | 0.41 | 2017 |
| Autocorrelation descriptor improvements for QSAR: 2DA_Sign and 3DA_Sign | 1 | 0.35 | 2016 |
| Improving quantitative structure–activity relationship models using Artificial Neural Networks trained with dropout | 0 | 0.34 | 2016 |
| Accurate Prediction of Contact Numbers for Multi-Spanning Helical Membrane Proteins. | 0 | 0.34 | 2016 |
| BCL::Conf: small molecule conformational sampling using a knowledge based rotamer library. | 7 | 0.48 | 2015 |
| Computational determination of the orientation of a heat repeat-like domain of DNA-PKcs. | 0 | 0.34 | 2013 |
| Simultaneous prediction of binding free energy and specificity for PDZ domain-peptide interactions. | 0 | 0.34 | 2013 |
| GPU-accelerated machine learning techniques enable QSAR modeling of large HTS data. | 3 | 0.45 | 2012 |
| Poster: GPU-accelerated artificial neural network for QSAR modeling | 0 | 0.34 | 2011 |
| Comparative analysis of machine learning techniques for the prediction of logP. | 0 | 0.34 | 2011 |
| Poster: GPU-accelerated rigid body fitting of atomic structures into electron density maps | 0 | 0.34 | 2011 |
| Bcl: :Cluster: A method for clustering biological molecules coupled with visualization in the Pymol Molecular Graphics System | 1 | 0.38 | 2011 |
| BCL::contact-low confidence fold recognition hits boost protein contact prediction and de novo structure determination. | 1 | 0.35 | 2010 |
| Application of machine learning approaches on quantitative structure activity relationships | 5 | 0.81 | 2009 |
| Improved prediction of trans-membrane spans in proteins using an artificial neural network | 1 | 0.36 | 2009 |
| A Correspondence Between Solution-State Dynamics Of An Individual Protein And The Sequence And Conformational Diversity Of Its Family | 15 | 1.44 | 2009 |
| Small Molecules as Rotamers: Generation and Docking in RosettaLigand | 0 | 0.34 | 2008 |
| Validation of structural proposals by substructure analysis and 13C NMR chemical shift prediction. | 3 | 0.52 | 2002 |
| Automated structure elucidation of organic molecules from (13)c NMR spectra using genetic algorithms and neural networks. | 2 | 0.47 | 2001 |
| Fast Determination of 13C NMR Chemical Shifts Using Artificial Neural Networks. | 1 | 0.40 | 2000 |
