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10篇 您的检索式:作者名="Felix Wolf"
    题名 作者 年代 出处 被引量
1Dev Cell:科学家阐明人类胚胎原生殖细胞发育的分子机制显示文摘近日,刊登于国际杂志Developmental Cell上的一项研究报道中,来自巴布拉汉研究所(Babraham Insdtute)的研究人员通过研究调查了原生殖细胞发育的早期阶段,同时他们在实验室开发了一种产生类似细胞的策略,这种酷似人类原始生殖细胞的产生对于未来生殖领域的研究,以及分析人类潜在的继代基因调控的遗传机制非常重要。Ferdinand von Meyenn Rebecca V. Berrens Simon Andrews Fátima Santos Amanda J. Collier Felix Krueger Rodrigo Osorno Wendy Dean Peter J. Rugg-Gunn Wolf Reik 2016现代生物医学进展2016,16,35:2
2Microcalorimetric study of a proposed test reaction—the imidazole catalysed hydrolysis of triacetin显示文摘Andrew K. Hills Anthony E. Beezer Joseph A. Connor John C. Mitchell Gert Wolf Felix Baitalow 2002Thermochimica Acta2002,,2:1
3The Scalasca performance toolset architecture显示文摘Markus Geimer Felix Wolf Brian J N 2010Concurrency and Computation:Practice and Experience2010,22,6:1
4Structral paramters of collagen nerve grafts influence peripheral nerve regeneration显示文摘Felix Stang Hisham Fanss Gerald Wolf 2005Biomaterials2005,26,16:1
5Bio-compatibility of type Ⅰ/Ⅲ collagen matrix for peripheral nerve reconstruction显示文摘 Felix Stang Gerald Wolf 2003Biomaterials2003,24,:1
6Survey of conventional and spiral CT doses显示文摘 Wolf M Nunnemann A Schroder RJ Felix R 2001Radiology2001,218,:1
7The Scalasca performance toolset architecture 显示文摘Markus Geimer Felix Wolf Brian J N 2010Concurrency and Computation: Practice and Experience2010,22,6:1
8Conventional and rapid MR imaging of the liver with Gd- DTPA 显示文摘Hamm B Wolf KJ Felix R 1987Radiology1987,164,2:1
9Structural parameters of collagen nerve grafts influence peripheral nerve regeneration显示文摘 Hisham Fansa Gerald Wolf 2005Biomaterials2005,26,16:1
10finDr:A web server for in silico D-peptide ligand identification显示文摘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(http://gffzz4d57a956f0c348acskvxpoqpbf0pq6wbk.ffgz.tsg.suse.edu.cn/).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.Helena Engel Felix Guischard 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 2021Synthetic and Systems Biotechnology2021,6,4:0
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