Conducts computational ‘screens’. NLLSS integrates several types of information such as known synergistic drug combinations, unlabeled combinations, drug-target interactions, and drug chemical structures. It is an efficient way to find potential synergistic antifungal combinations by exploring new indications of existing antifungal drugs. The tool is based on the framework of Laplacian Regularized Least Square (LapRLS).
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China; Chinese Academy of Sciences Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Sichuan, China; University of Chinese Academy of Sciences, Beijing, China; South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China; Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
NLLSS funding source(s)
Supported by National Natural Science Foundation of China (11301517, 11371355, 10531070, 10721101, 30973665, 30700015, 30901849, 30910376, 30911120484, 81011120046 and 30911120483), National 863 Project (2006AA09Z402, 2007AA09Z443), Key Project for International Cooperation (2007DFB31620), National Key Technology R&D Program (2007BAI26B02), the CAS Pillar Program (KSCX2-YW-R-164), Important National Science & Technology Specific Projects (2008ZX09401-05, 2009ZX09302-004), and National Center for Mathematics and Interdisciplinary Sciences, CAS.