[EN] COMPOUNDS FOR THE TREATMENT AND PROPHYLAXIS OF RESPIRATORY SYNCYTIAL VIRUS DISEASE<br/>[FR] COMPOSÉS DESTINÉS À TRAITER ET À PRÉVENIR LA MALADIE PROVOQUÉE PAR LE VIRUS RESPIRATOIRE SYNCYTIAL
申请人:HOFFMANN LA ROCHE
公开号:WO2013053658A1
公开(公告)日:2013-04-18
A compound of formula (I) as well as pharmaceutically acceptable salt thereof, wherein R1, R2 and X are as defined in description and in claims, can be used as a medicament.
Lead Optimization of Phthalazinone Phosphodiesterase Inhibitors as Novel Antitrypanosomal Compounds
作者:Irene G. Salado、Abhimanyu K. Singh、Carlos Moreno-Cinos、Guna Sakaine、Marco Siderius、Pieter Van der Veken、An Matheeussen、Tiffany van der Meer、Payman Sadek、Sheraz Gul、Louis Maes、Geert-Jan Sterk、Rob Leurs、David Brown、Koen Augustyns
DOI:10.1021/acs.jmedchem.9b00985
日期:2020.4.9
Human Africantrypanosomiasis is causing thousands of deaths every year in the rural areas of Africa. In this manuscript we describe the optimization of a family of phtalazinone derivatives. Phosphodiesterases have emerged as attractive molecular targets for a novel treatment for a variety of neglected parasitic diseases. Compound 1 resulted in being a potent TbrPDEB1 inhibitor with interesting activity
COMPOUNDS FOR THE TREATMENT AND PROPHYLAXIS OF RESPIRATORY SYNCYTIAL VIRUS DISEASE
申请人:Hoffmann-La Roche Inc
公开号:US20130090328A1
公开(公告)日:2013-04-11
The invention relates to the compounds of formula (I):
and pharmaceutically acceptable salts thereof, wherein R
1
, R
2
and X are as defined in the description and claims, which are useful for the treatment or prophylaxis of RSV infection.
Synthetically Feasible De Novo Molecular Design of Leads Based on a Reinforcement Learning Model: AI-Assisted Discovery of an Anti-IBD Lead Targeting CXCR4
Artificial intelligence (AI) denovo molecular generation provides leads with novel structures for drug discovery. However, the target affinity and synthesizability of the generated molecules present critical challenges for the successful application of AI technology. Therefore, we developed an advanced reinforcement learning model to bridge the gap between the theory of denovo molecular generation and