about
Mechanism-based design, synthesis and biological studies of N⁵-substituted tetrahydrofolate analogs as inhibitors of cobalamin-dependent methionine synthase and potential anticancer agentsBenchmarking methods and data sets for ligand enrichment assessment in virtual screening.Comparative modeling and benchmarking data sets for human histone deacetylases and sirtuin families.Enrichment assessment of multiple virtual screening strategies for Toll-like receptor 8 agonists based on a maximal unbiased benchmarking data set.An unbiased method to build benchmarking sets for ligand-based virtual screening and its application to GPCRsVirtual Screening against Phosphoglycerate Kinase 1 in Quest of Novel Apoptosis Inhibitors.A Thoroughly Validated Virtual Screening Strategy for Discovery of Novel HDAC3 Inhibitors.The Development of Target-Specific Pose Filter Ensembles To Boost Ligand Enrichment for Structure-Based Virtual Screening.Discovery of novel isoflavone derivatives as AChE/BuChE dual-targeted inhibitors: synthesis, biological evaluation and molecular modelling.The discovery of novel HDAC3 inhibitors via virtual screening and in vitro bioassay.Maximal Unbiased Benchmarking Data Sets for Human Chemokine Receptors and Comparative Analysis.Design and synthesis of conformationally constrained salinomycin derivativesBacterial lipoprotein biosynthetic pathway as a potential target for structure-based design of antibacterial agentsDesign, synthesis and biological evaluation of noncovalent inhibitors of human CD38 NADasePose Filter-Based Ensemble Learning Enables Discovery of Orally Active, Nonsteroidal Farnesoid X Receptor AgonistsDiscovery of potent PTP1B inhibitors via structure-based drug design, synthesis and in vitro bioassay of Norathyriol derivativesMUBD-DecoyMaker 2.0: A Python GUI Application to Generate Maximal Unbiased Benchmarking Data Sets for Virtual Drug ScreeningN-thiadiazole-4-hydroxy-2-quinolone-3-carboxamides bearing heteroaromatic rings as novel antibacterial agents: Design, synthesis, biological evaluation and target identification
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Q28278707-84B36743-7148-4753-8895-38B225E35F6FQ30875193-637DAFF5-522B-478D-B07B-59B2982D9D13Q30886620-B39A9137-7E23-47CE-B28D-78680E7AB2C6Q30959752-4EADF2F3-CF43-4023-AAC2-CC7D55D69F68Q33685078-1C42DC07-C1CE-4B33-8ABF-E86FF75393DFQ36411105-29569909-31E5-4783-9717-32B7BBE102DBQ37631587-554B128A-54E5-425A-AF2C-88E8B7191F0BQ38782563-E203E84B-CEC9-46B4-BF8F-92DDCD2F8A8FQ48190884-16A51560-60EF-44B4-88C3-D9C3FDE3C96CQ49717083-192686F3-77F1-4E5B-93CD-1472CF848E8AQ53281795-ECB20CF7-9BFA-4927-8AC7-78DF1198D271Q57694763-C919DCE4-B413-402D-89E0-6D407854DFF4Q58580270-C0FC4F0D-3963-4DEE-BB42-07EABE8D35E0Q83353652-00F54CFD-FC35-4D63-AA85-3241DEA68AC7Q89679945-C4A794A3-B8B0-4889-B92E-4BB6AC70130FQ91334046-4DB9A542-B91A-4E7B-8698-DEE9F97265F9Q91908194-DA09B1A9-2B77-4624-B03B-92B879459A85Q92415915-26DAA130-28D5-4400-9E6E-973B41A664B8
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description
researcher (ORCID 0000-0002-9567-3763)
@en
wetenschapper
@nl
name
Jie Xia
@en
Jie Xia
@nl
type
label
Jie Xia
@en
Jie Xia
@nl
prefLabel
Jie Xia
@en
Jie Xia
@nl
P31
P496
0000-0002-9567-3763