scholarly journals Retraction notice to “Extraction of polysaccharide from lotus leaf and its anticancer effect” [J. King Saudi Univ. 32 (2) (2020) 1702–1706]

2021 ◽  
Vol 33 (2) ◽  
pp. 101323
Author(s):  
Ma Yisi ◽  
Liu Daiyao ◽  
Zhu Kun ◽  
Zhang Wenting ◽  
Wang Qi
2020 ◽  
Vol 32 (2) ◽  
pp. 1702-1706
Author(s):  
Ma Yisi ◽  
Liu Daiyao ◽  
Zhu Kun ◽  
Zhang Wenting ◽  
Wang Qi
Keyword(s):  

2020 ◽  
Vol 06 (02) ◽  
pp. 130-130
Author(s):  
Isha Patel
Keyword(s):  

2020 ◽  
Author(s):  
Salvador Guardiola ◽  
Monica Varese ◽  
Xavier Roig ◽  
Jesús Garcia ◽  
Ernest Giralt

<p>NOTE: This preprint has been retracted by consensus from all authors. See the retraction notice in place above; the original text can be found under "Version 1", accessible from the version selector above.</p><p><br></p><p>------------------------------------------------------------------------</p><p><br></p><p>Peptides, together with antibodies, are among the most potent biochemical tools to modulate challenging protein-protein interactions. However, current structure-based methods are largely limited to natural peptides and are not suitable for designing target-specific binders with improved pharmaceutical properties, such as macrocyclic peptides. Here we report a general framework that leverages the computational power of Rosetta for large-scale backbone sampling and energy scoring, followed by side-chain composition, to design heterochiral cyclic peptides that bind to a protein surface of interest. To showcase the applicability of our approach, we identified two peptides (PD-<i>i</i>3 and PD-<i>i</i>6) that target PD-1, a key immune checkpoint, and work as protein ligand decoys. A comprehensive biophysical evaluation confirmed their binding mechanism to PD-1 and their inhibitory effect on the PD-1/PD-L1 interaction. Finally, elucidation of their solution structures by NMR served as validation of our <i>de novo </i>design approach. We anticipate that our results will provide a general framework for designing target-specific drug-like peptides.<i></i></p>


2020 ◽  
Author(s):  
Salvador Guardiola ◽  
Monica Varese ◽  
Xavier Roig ◽  
Jesús Garcia ◽  
Ernest Giralt

<p>NOTE: This preprint has been retracted by consensus from all authors. See the retraction notice in place above; the original text can be found under "Version 1", accessible from the version selector above.</p><p><br></p><p>------------------------------------------------------------------------</p><p><br></p><p>Peptides, together with antibodies, are among the most potent biochemical tools to modulate challenging protein-protein interactions. However, current structure-based methods are largely limited to natural peptides and are not suitable for designing target-specific binders with improved pharmaceutical properties, such as macrocyclic peptides. Here we report a general framework that leverages the computational power of Rosetta for large-scale backbone sampling and energy scoring, followed by side-chain composition, to design heterochiral cyclic peptides that bind to a protein surface of interest. To showcase the applicability of our approach, we identified two peptides (PD-<i>i</i>3 and PD-<i>i</i>6) that target PD-1, a key immune checkpoint, and work as protein ligand decoys. A comprehensive biophysical evaluation confirmed their binding mechanism to PD-1 and their inhibitory effect on the PD-1/PD-L1 interaction. Finally, elucidation of their solution structures by NMR served as validation of our <i>de novo </i>design approach. We anticipate that our results will provide a general framework for designing target-specific drug-like peptides.<i></i></p>


2020 ◽  
Author(s):  
Salvador Guardiola ◽  
Monica Varese ◽  
Xavier Roig ◽  
Jesús Garcia ◽  
Ernest Giralt

<p>NOTE: This preprint has been retracted by consensus from all authors. See the retraction notice in place above; the original text can be found under "Version 1", accessible from the version selector above.</p><p><br></p><p>------------------------------------------------------------------------</p><p><br></p><p>Peptides, together with antibodies, are among the most potent biochemical tools to modulate challenging protein-protein interactions. However, current structure-based methods are largely limited to natural peptides and are not suitable for designing target-specific binders with improved pharmaceutical properties, such as macrocyclic peptides. Here we report a general framework that leverages the computational power of Rosetta for large-scale backbone sampling and energy scoring, followed by side-chain composition, to design heterochiral cyclic peptides that bind to a protein surface of interest. To showcase the applicability of our approach, we identified two peptides (PD-<i>i</i>3 and PD-<i>i</i>6) that target PD-1, a key immune checkpoint, and work as protein ligand decoys. A comprehensive biophysical evaluation confirmed their binding mechanism to PD-1 and their inhibitory effect on the PD-1/PD-L1 interaction. Finally, elucidation of their solution structures by NMR served as validation of our <i>de novo </i>design approach. We anticipate that our results will provide a general framework for designing target-specific drug-like peptides.<i></i></p>


2014 ◽  
pp. 98-101
Author(s):  
Thi Bich Hien Le ◽  
Viet Duc Ho ◽  
Thi Hoai Nguyen

Nowadays, cancer treatment has been a big challenge to healthcare systems. Most of clinical anti-cancer therapies are toxic and cause adverse effects to human body. Therefore, current trend in science is seeking and screening of natural compounds which possess antineoplastic activities to utilize in treatment. Uvaria L. - Annonaceae includes approximately 175 species spreading over tropical areas of Asia, Australia, Africa and America. Studies on chemical compositions and pharmacological effects of Uvaria showed that several compound classes in this genus such as alkaloid, flavonoid, cyclohexen derivaties, acetogenin, steroid, terpenoid, etc. indicate considerable biological activities, for example anti-tumor, anti-cancer, antibacterial, antifungal, antioxidant, etc. Specifically, anti-cancer activity of fractions of extract and pure isolated compounds stands out for cytotoxicity against many cancer cell lines. This study provides an overview of anti-cancer activity of Uvaria and suggests a potential for further studies on seeking and developing novel anti-cancer compounds. Key words: Anti-cancer, Uvaria.


Author(s):  
سعيد مزعل موازي ◽  
يحيى فائق حسين ◽  
عبد المنعم دولاني ◽  
سيف يوسف عبدالله السويدي

Recently, many studies have been conducted to discover or improve cancers treatment. The current study aims to investigate the anticancer effect of thymoquinone, cordyceps, spirulina, ganoderma lucidium, poria cocos, and lion’s mane in four different concentrations 4, 8, 16, and 32 ug (equivalent to 1 mg/mL) in two different time treatments (48 and 96 hours) on human nasal epithelial cell line RPMI 2650. By using cell culture cytotoxicity techniques and assay, the highest anticancer effect on RPMI 2650 was obtained by thymoquinone. The lowest anticancer effect was demonstrated by poria cocos and cordyceps. However, these two medications showed higher anticancer effect when given in short-term treatment (48 hours) compared to long-term treatment (96 hours). Ganoderma lucidium and spirulina showed better impact than poria cocos, cordyceps, and lion’s mane in term of cells cytotoxicity. Mild to moderate antineoplastic effect was seen by utilizing lion’s mane treatment compared other drugs. Therefore, adopting a long-term treatment of high concentrations and doses of thymoquinone, cordyceps, spirulina, ganoderma lucidium, poria cocos, and lion’s mane can be more effective in the treatment of nasal cancer. In conclusion, these drugs were found to be a promising cancer remedy; therefore, they can be utilized as alternative treatment for nasal cancer or any other type of cancer therapy.


2009 ◽  
Vol 38 (5) ◽  
pp. 594-600 ◽  
Author(s):  
Jong-Suk Kim ◽  
Su-Bin Wang ◽  
Seong-Koo Kang ◽  
Young-Sook Cho ◽  
Seok-Kyu Park

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