Fragment-Based Screening of a Natural Product Library against 62 Potential Malaria Drug Targets Employing Native Mass Spectrometry

التفاصيل البيبلوغرافية
العنوان: Fragment-Based Screening of a Natural Product Library against 62 Potential Malaria Drug Targets Employing Native Mass Spectrometry
المؤلفون: Vu, Hoan, Pedro, Liliana, Mak, Tin, McCormick, Brendan, Rowley, Jessica, Liu, Miaomiao, Di Capua, Angela, Williams-Noonan, Billy, Pham, Ngoc B., Pouwer, Rebecca, Nguyen, Bao, Andrews, Katherine T., Skinner-Adams, Tina, Kim, Jessica, Hol, Wim G. J., Hui, Raymond, Crowther, Gregory J., Van Voorhis, Wesley C., Quinn, Ronald J.
المصدر: ACS Infectious Diseases
بيانات النشر: American Chemical Society, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Antimalarials, Biological Products, natural products, native mass spectrometry, target identification, fragments, Plasmodium falciparum, malaria, Drug Evaluation, Preclinical, Protozoan Proteins, Featured Article, Mass Spectrometry, Protein Binding
الوصف: Natural products are well known for their biological relevance, high degree of three-dimensionality, and access to areas of largely unexplored chemical space. To shape our understanding of the interaction between natural products and protein targets in the postgenomic era, we have used native mass spectrometry to investigate 62 potential protein targets for malaria using a natural-product-based fragment library. We reveal here 96 low-molecular-weight natural products identified as binding partners of 32 of the putative malarial targets. Seventy-nine (79) fragments have direct growth inhibition on Plasmodium falciparum at concentrations that are promising for the development of fragment hits against these protein targets. This adds a fragment library to the published HTS active libraries in the public domain.
اللغة: English
تدمد: 2373-8227
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=pmid________::a771f63190ee9cebce3cda3fed3895eaTest
http://europepmc.org/articles/PMC5902791Test
حقوق: OPEN
رقم الانضمام: edsair.pmid..........a771f63190ee9cebce3cda3fed3895ea
قاعدة البيانات: OpenAIRE