Bevacizumab Antibody Affinity Maturation to Improve Ovarian Cancer Immunotherapy: In Silico Approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Bevacizumab Antibody Affinity Maturation to Improve Ovarian Cancer Immunotherapy: In Silico Approach

Published:2018-11-17 Issue:4 Volume:25 Page:1417-1430
ISSN:1573-3149
Container-title:International Journal of Peptide Research and Therapeutics
language:en
Short-container-title:Int J Pept Res Ther

Author:

Eyvazi Shirin,Payandeh Zahra,Khalili Saeed,Sefid Fatemeh,Ouladsahebmadarek Elaheh

Publisher

Springer Science and Business Media LLC

Subject

Drug Discovery,Molecular Medicine,Biochemistry,Bioengineering,Analytical Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s10989-018-9787-5.pdf

Reference39 articles.

1. Badgwell D, Bast RC Jr (2007) Early detection of ovarian cancer. Dis Markers 23(5):6):397–410

2. Bandehpour M, Yarian F, Ahangarzadeh S (2017) Bioinformatics evaluation of novel ribosome display-selected single chain variable fragment (scFv) structure with factor H binding protein through docking. J Theor Comput Chem 16(03):1750021

3. Berezin C, Glaser F, Rosenberg J, Paz I, Pupko T, Fariselli P et al (2004) ConSeq: the identification of functionally and structurally important residues in protein sequences. Bioinformatics 20(8):1322–1324

4. Burger RA, Brady MF, Bookman MA, Fleming GF, Monk BJ, Huang H et al (2011) Incorporation of bevacizumab in the primary treatment of ovarian cancer. N Engl J Med 365(26):2473–2483

5. Dillman RO (1989) Monoclonal antibodies for treating cancer. Ann Intern Med 111(7):592–603

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancement of SARS-CoV-2 Receptor Binding Domain -CR3022 Human Antibody Binding Affinity via In silico Engineering Approach;Journal of Medical Microbiology and Infectious Diseases;2021-09-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3