| 2005, 48, 5666–5674 |
Impact of induced fit on ligand binding to the androgen receptor: A multidimensional QSAR study to predict endocrine-disrupting effects of environmental chemicals |
Lill M.A., Winiger, F., Vedani, A. and Ernst, B. |
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| 2005, 48, 3700–3703 |
Combining protein modeling and 6D-QSAR – Simulating the binding of structurally diverse ligands to the estrogen receptor |
Vedani, A., Dobler, M. and Lill M.A. |
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| 2005, 48, 1515–1527 |
Novel ligands for the chemokine receptor-3 (CCR3): A receptor-modeling study based on 5D-QSAR |
Vedani, A., Dobler M., Dollinger H., Hasselbach, K.-M., Birke F. and Lill, M.A. |
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| 2004, 47, 6174–6186 |
Raptor – combining dual-shell representation, induced-fit simulation and hydrophobicity scoring in receptor modeling:
Application towards the simulation of structurally diverse ligand sets |
Lill, M.A., Vedani, A. and M. Dobler |
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| 2002, 45, 2139–2149 |
5D-QSAR: The key for simulating induced fit ? |
Vedani, A. and Dobler M. |
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| 2000, 43, 4416–4427 |
Multiple conformation and protonation-state representation in
4D-QSAR: The neurokinin–1 receptor system |
Vedani, A., Briem, H., Dobler, M., Dollinger, H. and McMasters, D. R. |
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| 1999, 42, 3075–3086 |
Ochratoxin binding to phenylalanyl-tRNA synthetase: Computational approach to ochratoxicosis and its antagonism |
McMasters, D. R. and Vedani, A. |
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