Alla P. Toropova (PhD) works at Istituto di Ricerche Farmacologiche Mario Negri Milano, Italy. She has published about 330 papers in international journals. Dr. Toropova had taken part in the development of an approach to Chemoinformatics modeling based on optimal descriptors. The method based on optimal descriptors can be a useful alternative to traditional QSAR for analysing nanomaterials and drug discovery. She participates in the work of Editorial Boards of scientific journals (as a reviewer and a Guest Editor). Her research interests are QSPR/QSAR, the Monte Carlo
method, nanoinformatics, toxicology, nanotoxicology, and drug discovery.
Alla P. Toropova (PhD) works at Istituto di Ricerche Farmacologiche Mario Negri Milano, Italy. She has published about 330 papers in international journals. Dr. Toropova had taken part in the development of an approach to Chemoinformatics modeling based on optimal descriptors. The method based on optimal descriptors can be a useful alternative to traditional QSAR for analysing nanomaterials and drug discovery. She participates in the work of Editorial Boards of scientific journals (as a reviewer and a Guest Editor). Her research interests are QSPR/QSAR, the Monte Carlo
method, nanoinformatics, toxicology, nanotoxicology, and drug discovery.