Computational Design of Cyclic Peptide Inhibitors of the Anti-Apoptotic Protein Calbindin-D28K

2014 ◽  
Vol 03 (04) ◽  
Author(s):  
Logan R Butler
Author(s):  
Daniel J. Ford ◽  
Nisharnthi M. Duggan ◽  
Sarah E. Fry ◽  
Jorge Ripoll-Rozada ◽  
Stijn M. Agten ◽  
...  

2020 ◽  
Author(s):  
Matthijs J. van Haren ◽  
Yurui Zhang ◽  
Ned Buijs ◽  
Vito Thijssen ◽  
Davide Sartini ◽  
...  

<p>Nicotinamide <i>N</i>-methyltransferase (NNMT) methylates nicotinamide to form 1-methylnicotinamide using <i>S</i>-adenosyl-l-methionine (SAM) as the methyl donor. The complexity of the role of NNMT in healthy and disease states is slowly being elucidated and provides indication that NNMT may be an interesting therapeutic target for a variety of diseases including cancer, diabetes, and obesity. Most inhibitors of NNMT described to date are structurally related to one or both of its substrates. In search of structurally diverse NNMT inhibitors, an mRNA display screening technique was used to identify macrocyclic peptides which bind to NNMT. Several of the cyclic peptides identified in this manner show potent inhibition of NNMT with IC<sub>50</sub> values as low as 229 nM. Interestingly, substrate competition experiments reveal that these cyclic peptide inhibitors are noncompetitive with either SAM or NA indicating they may be the first allosteric inhibitors reported for NNMT.</p>


Author(s):  
Pedro A. Valiente ◽  
Han Wen ◽  
Satra Nim ◽  
JinAh Lee ◽  
Hyeon Ju Kim ◽  
...  

2016 ◽  
Vol 179 (4) ◽  
pp. 597-609 ◽  
Author(s):  
David Shiuan ◽  
Yue-Hao Chen ◽  
Hwan-Kang Lin ◽  
Kao-Jean Huang ◽  
Da-Fu Tai ◽  
...  

ChemMedChem ◽  
2017 ◽  
Vol 12 (23) ◽  
pp. 1985-1993 ◽  
Author(s):  
Danielle A. Guarracino ◽  
Alexis Oldfield ◽  
Kayla Gentile ◽  
Sara Martin ◽  
Dylan Nguyen ◽  
...  

2012 ◽  
Vol 20 (11) ◽  
pp. 2064-2075 ◽  
Author(s):  
Belete A Desimmie ◽  
Michael Humbert ◽  
Eveline Lescrinier ◽  
Jelle Hendrix ◽  
Sofie Vets ◽  
...  

Author(s):  
Yanxiao Han ◽  
Petr Kral

<div>Peptide inhibitors against the SARS-CoV-2 coronavirus, currently causing a worldwide pandemic, are designed and simulated. The inhibitors are formed by two sequential self-supporting alpha-helices (bundle) extracted from the protease domain (PD) of angiotensin-converting enzyme 2 (ACE2), which binds to the SARS-CoV-2 receptor binding domains. Molecular dynamics simulations revealed that the peptides maintain their secondary structure and provide a highly specific and stable binding (blocking) to SARS-CoV-2, determined by their sequences and conformations. The proposed peptide inhibitors could provide simple therapeutics against the COVID-19 disease.</div>


Sign in / Sign up

Export Citation Format

Share Document