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Chemical protein synthesis-assisted high-throughput screening strategies for D-peptides in drug discovery 被引量:1
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作者 Ying Li Xiuxiu Cao +1 位作者 Changlin Tian Ji-Shen Zheng 《Chinese Chemical Letters》 SCIE CAS CSCD 2020年第9期2365-2374,共10页
D-peptides are recognized as a new class of synthetic chemical drugs and they possess many interesting advantages such as high enzymatic stability,improved oral bioavailability,as well as high binding affinity and spe... D-peptides are recognized as a new class of synthetic chemical drugs and they possess many interesting advantages such as high enzymatic stability,improved oral bioavailability,as well as high binding affinity and specificity.Recently,D-peptide drugs have been attracting increasing attention in both academic and industrial researches over recent years.One D-peptide etelcalcetide has even entered the market that targets the calcium(Ca2+)-sensing receptor(CaSR) to fight secondary hyperparathyroidism.Effective discovery and optimization of D-peptide ligands that can bind to various disease-related targets with high specificity and potency is of great importance for the development of D-peptide drugs.This review surveys the recent method development in this area especially the chemical protein synthesis-assisted high-throughput screening strategies for D-peptide ligands and their application in drug discovery. 展开更多
关键词 Chemical protein synthesis Mirror-image proteins Mirror-image phage display Mirror-image one-bead one-compound(OBOC) d-peptide drug
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finDr:A web server for in silico D-peptide ligand identification 被引量:1
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作者 Helena Engel Felix Guischard +23 位作者 Fabian Krause Janina Nandy Paulina Kaas Nico Hofflin Maja Kohn Normann Kilb Karsten Voigt Steffen Wolf Tahira Aslan Fabian Baezner Salom´e Hahne Carolin Ruckes Joshua Weygant Alisa Zinina Emir Bora Akmeriç Enoch B.Antwi Dennis Dombrovskij Philipp Franke Klara L.Lesch Niklas Vesper Daniel Weis Nicole Gensch Barbara Di Ventura Mehmet Ali Oztürk 《Synthetic and Systems Biotechnology》 SCIE 2021年第4期402-413,共12页
In the rapidly expanding field of peptide therapeutics,the short in vivo half-life of peptides represents a considerable limitation for drug action.D-peptides,consisting entirely of the dextrorotatory enantiomers of n... In the rapidly expanding field of peptide therapeutics,the short in vivo half-life of peptides represents a considerable limitation for drug action.D-peptides,consisting entirely of the dextrorotatory enantiomers of naturally occurring levorotatory amino acids(AAs),do not suffer from these shortcomings as they are intrinsically resistant to proteolytic degradation,resulting in a favourable pharmacokinetic profile.To experimentally identify D-peptide binders to interesting therapeutic targets,so-called mirror-image phage display is typically performed,whereby the target is synthesized in D-form and L-peptide binders are screened as in conventional phage display.This technique is extremely powerful,but it requires the synthesis of the target in D-form,which is challenging for large proteins.Here we present finDr,a novel web server for the computational identification and optimization of D-peptide ligands to any protein structure(https://findr.biologie.uni-freiburg.de/).finDr performs molecular docking to virtually screen a library of helical 12-mer peptides extracted from the RCSB Protein Data Bank(PDB)for their ability to bind to the target.In a separate,heuristic approach to search the chemical space of 12-mer peptides,finDr executes a customizable evolutionary algorithm(EA)for the de novo identification or optimization of D-peptide ligands.As a proof of principle,we demonstrate the validity of our approach to predict optimal binders to the pharmacologically relevant target phenol soluble modulin alpha 3(PSMα3),a toxin of methicillin-resistant Staphylococcus aureus(MRSA).We validate the predictions using in vitro binding assays,supporting the success of this approach.Compared to conventional methods,finDr provides a low cost and easy-to-use alternative for the identification of D-peptide ligands against protein targets of choice without size limitation.We believe finDr will facilitate D-peptide discovery with implications in biotechnology and biomedicine. 展开更多
关键词 d-peptide Web server Evolutionary algorithm Peptide design Molecular docking Mirror-image phage display
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Whole-body PET tracking of a D-dodecapeptide and its radiotheranostic potential for PD-L1 overexpressing tumors 被引量:3
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作者 Kuan Hu Wenyu Wu +12 位作者 Lin Xie Hao Geng Yiding Zhang Masayuki Hanyu Lulu Zhang Yinghuan Liu Kotaro Nagatsu Hisashi Suzuki Jialin Guo Yundong Wu Zigang Li Feng Wang Mingrong Zhang 《Acta Pharmaceutica Sinica B》 SCIE CAS CSCD 2022年第3期1363-1376,共14页
Peptides that are composed of dextrorotary(D)-amino acids have gained increasing attention as a potential therapeutic class.However,our understanding of the in vivo fate of D-peptides is limited.This highlights the ne... Peptides that are composed of dextrorotary(D)-amino acids have gained increasing attention as a potential therapeutic class.However,our understanding of the in vivo fate of D-peptides is limited.This highlights the need for whole-body,quantitative tracking of D-peptides to better understand how they interact with the living body.Here,we used mouse models to track the movement of a programmed death-ligand 1(PD-L1)-targeting D-dodecapeptide antagonist(DPA)using positron emission tomography(PET).More specifically,we profiled the metabolic routes of[^(64)Cu]DPA and investigated the tumor engagement of[^(64)Cu/^(68)Ga]DPA in mouse models.Our results revealed that intact[^(64)Cu/^(68)Ga]DPA was primarily eliminated by the kidneys and had a notable accumulation in tumors.Moreover,a single dose of[^(64)Cu]DPA effectively delayed tumor growth and improved the survival of mice.Collectively,these results not only deepen our knowledge of the in vivo fate of D-peptides,but also underscore the utility of D-peptides as radiopharmaceuticals. 展开更多
关键词 d-peptide PET imaging Radiotheranostics In vivo fate PD-L1
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