Mikael Peräkylä

Comparing the Performance of FLUFF-BALL to SEAL-CoMFA with a Large Diverse Estrogen Data Set: From Relevant Superpositions to Solid Predictions

Reino Laatikainen, Kari Tuppurainen, Samuli-Petrus Korhonen, 2005, J. Chem. Inf. Model..

Molecular Dynamics Simulation Studies on the Modulation of Vitamin D Receptor Activity by Agonists and Antagonists

Mikael Peräkylä, M. Peräkylä, 2006, PARA.

FLUFF-BALL, A Template-Based Grid-Independent Superposition and QSAR Technique: Validation Using a Benchmark Steroid Data Set

Reino Laatikainen, Kari Tuppurainen, Samuli-Petrus Korhonen, 2003, J. Chem. Inf. Comput. Sci..

New energy terms for reduced protein models implemented in an off‐lattice force field

Mikael Peräkylä, Tommi Hassinen, T. Hassinen, 2001, J. Comput. Chem..

Evaluation of a Novel Electronic Eigenvalue (EEVA) Molecular Descriptor for QSAR/QSPR Studies: Validation Using a Benchmark Steroid Data Set

Reino Laatikainen, Kari Tuppurainen, Mikael Peräkylä, 2002, J. Chem. Inf. Comput. Sci..

SOMFA on Large Diverse Xenoestrogen Dataset: The Effect of Superposition Algorithms and External Regression Tools

Reino Laatikainen, Arja Asikainen, Kari Tuppurainen, 2007 .

Ligand intramolecular motions in ligand-protein interaction: ALPHA, a novel dynamic descriptor and a QSAR study with extended steroid benchmark dataset

Reino Laatikainen, Kari Tuppurainen, Mikael Peräkylä, 2004, J. Comput. Aided Mol. Des..