In Search of Novel Cancer Therapeutics: Assessing the NCI Natural Product Library against Ten Anti-Apoptotic Protein Targets

Planta Medica ◽  
2013 ◽  
Vol 79 (10) ◽  
Author(s):  
DB Divlianska ◽  
AE Wright ◽  
S Francis ◽  
MA Walters ◽  
CE Salomon ◽  
...  
Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
P Jiao ◽  
J Zhao ◽  
J Yeop Lee ◽  
J Tseng-Crank ◽  
B Corneliusen ◽  
...  

2019 ◽  
Vol 15 (2) ◽  
pp. 138-149
Author(s):  
Saleem Farooq ◽  
Javid A. Banday ◽  
Aashiq Hussain ◽  
Momina Nazir ◽  
Mushtaq A. Qurishi ◽  
...  

Background: Natural product, osthol has been found to have important biological and pharmacological roles particularly having inhibitory effect on multiple types of cancer. Objective: The unmet needs in cancer therapeutics make its derivatization an important and exciting field of research. Keeping this in view, a whole new series of diverse analogues of osthol (1) were synthesized. Method: All the newly synthesized compounds were made through modification in the lactone ring as well as in the side chain of the osthol molecule and were subjected to anti-proliferative screening through 3-(4,5-Dimethylthiazol-yl)-diphenyl tetrazoliumbromide (MTT) against four different human cancers of diverse origins viz. Colon (Colo-205), lung (A549), Leukemia (THP- 1) and breast (MCF-7) including SV40 transformed normal breast epithelial cell (fR-2). Results: Interestingly, among the tested molecules, most of the analogs displayed better antiproliferative activity than the parent Osthol 1. However, among all the tested analogs, compound 28 exhibited the best results against leukemia (THP1) cell line with IC50 of 5µM.Compound 28 induced potent apoptotic effects and G1 phase arrest in leukemia cancer cells (THP1). The population of apoptotic cells increased from 13.8% in negative control to 26.9% at 8μM concentration of 28. Compound 28 also induced a remarkable decrease in mitochondrial membrane potential (ΛΨm) leading to apoptosis of the cancer cells. Conclusion: A novel series of molecules derived from natural product osthol were synthesized, wherein compound 28 was found to be most effective against leukemia and with 10 fold less toxicity against normal cells. The compound induced cancer inhibition mainly through apoptosis and thus has a potential in cancer therapeutics.


Author(s):  
Saranyadevi Subburaj ◽  
Tanvi Anand Nagrale ◽  
Mohd. Mustufa Khan ◽  
Nivya James ◽  
Ramanathan Karuppasamy ◽  
...  

2012 ◽  
Vol 56 (6) ◽  
pp. 3399-3401 ◽  
Author(s):  
Kevin D. McCormick ◽  
Shufeng Liu ◽  
Jana L. Jacobs ◽  
Ernesto T. A. Marques ◽  
Nicolas Sluis-Cremer ◽  
...  

ABSTRACTWe have developed a robust cytopathic effect-based high-throughput screening assay to identify inhibitors of dengue virus (DENV) infection. Screening of a small natural product library yielded 11 hits. Four of these were found to be potent inhibitors of DENV, although serotype differences were noted. Taken together, these data suggest that screening of larger and more complex molecule libraries may result in the identification of more potent and specific DENV inhibitors.


2016 ◽  
Vol 473 (4) ◽  
pp. 775-780 ◽  
Author(s):  
Yangchun Xie ◽  
Xinxin Song ◽  
Xiaofang Sun ◽  
Jin Huang ◽  
Meizuo Zhong ◽  
...  

2016 ◽  
Vol 79 (8) ◽  
pp. 1982-1989 ◽  
Author(s):  
Marie-Laure Vial ◽  
Dusan Zencak ◽  
Tanja Grkovic ◽  
Alain-Dominique Gorse ◽  
Alan Mackay-Sim ◽  
...  

2017 ◽  
Author(s):  
Eric J Buenz

Natural product libraries are important tools for drug discovery. However, until now, there has not been a system to allow projections of the potential number of hits from creating these libraries. The objective of this study was to develop a stochastic model system that predicts the number of hits from creating a natural product library. A Monte Carlo simulation was developed with data from the peer-reviewed literature. Using types of endemic New Zealand terrestrial flora as examples, the number of antibacterial hits expected from creating natural product libraries were calculated. The model predicts the following bounds for the 90% range of validated antibiotic leads for the categories of the terrestrial endemic flora of New Zealand with a right skewed distribution: [grasses: 1.43-6.50; liverworts: 2.75-12.5; fungi: 45.2-207; mosses: 0.98-4.48; vascular plants: 21.4-97.8]. Furthermore, per full-time equivalent (FTE) person employed on the project, a mean of 1.31 hits (90% range 0.48-2.42) is expected. This model system allows the number of expected hits to be calculated when developing a natural product library for a therapeutic target. There is an opportunity to create a natural product library from New Zealand endemic terrestrial flora. This model is scalable to other geographic areas as well as to other therapeutic targets and screening systems.


2020 ◽  
Author(s):  
R.P. Vivek-Ananth ◽  
Ajaya Kumar Sahoo ◽  
Kavyaa Kumaravel ◽  
Karthikeyan Mohanraj ◽  
Areejit Samal

AbstractFungi are a rich source of secondary metabolites which constitutes a valuable and diverse chemical space of natural products. Medicinal fungi have been used in traditional medicine to treat human ailments for centuries. To date, there is no devoted resource on secondary metabolites and therapeutic uses of medicinal fungi. Such a dedicated resource compiling dispersed information on medicinal fungi across published literature will facilitate ongoing efforts towards natural product based drug discovery. Here, we present the first comprehensive manually curated database on Medicinal Fungi Secondary metabolites And Therapeutics (MeFSAT) that compiles information on 184 medicinal fungi, 1830 secondary metabolites and 149 therapeutics uses. Importantly, MeFSAT contains a non-redundant in silico natural product library of 1830 secondary metabolites along with information on their chemical structures, computed physicochemical properties, drug-likeness properties, predicted ADMET properties, molecular descriptors and predicted human target proteins. By comparing the physicochemical properties of secondary metabolites in MeFSAT with other small molecules collections, we find that fungal secondary metabolites have high stereochemical complexity and shape complexity similar to other natural product libraries. Based on multiple scoring schemes, we have filtered a subset of 228 drug-like secondary metabolites in MeFSAT database. By constructing and analyzing chemical similarity networks, we show that the chemical space of secondary metabolites in MeFSAT is highly diverse. The compiled information in MeFSAT database is openly accessible at: https://cb.imsc.res.in/mefsat/.


2021 ◽  
pp. 105210
Author(s):  
Liang Zhou ◽  
Jia Zhou ◽  
Tongling Chen ◽  
Xiaojing Chi ◽  
Xiuying Liu ◽  
...  

2008 ◽  
Vol 71 (10) ◽  
pp. 1792-1792 ◽  
Author(s):  
Ronald J. Quinn ◽  
Anthony R. Carroll ◽  
Ngoc B. Pham ◽  
Paul Baron ◽  
Meredith E. Palframan ◽  
...  

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