کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10537203 | 962688 | 2015 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Antibody informatics for drug discovery
ترجمه فارسی عنوان
انفورماتیک آنتیبادی برای کشف مواد مخدر
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کلمات کلیدی
CDRCPCAAntibody modelingRMSDIMGTNGSIgSFFPIAThree-dimensionalHTSCMCCanonical structureimmunoglobulin - ایمونوگلوبولینMajor histocompatibility - بافتشناسی عمدهSurface plasmon resonance - تشدید پلاسمون سطحیSPR - تشدید پلاسمون سطحیHigh throughput sequencing - توالی انتخابی بالاNext generation sequencing - توالی نسل بعدیImmunoglobulin superfamily - خانواده فوقانی ایمونوگلوبولینtwo-dimensional - دو بعدیPharmacodynamics - فارماکودینامیکPharmacokinetics - فارماکوکینتیکcomplementarity determining region - منطقه تعریف مکملvariable region of light chain - منطقه متغیر زنجیره سبکvariable region of heavy chain - منطقه متغیر زنجیره سنگینframework region - منطقه چارچوبroot mean square deviation - میانگین انحراف مربع ریشهDrug discovery - کشف مواد مخدرT cell receptor - گیرنده سلول T
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
More and more antibody therapeutics are being approved every year, mainly due to their high efficacy and antigen selectivity. However, it is still difficult to identify the antigen, and thereby the function, of an antibody if no other information is available. There are obstacles inherent to the antibody science in every project in antibody drug discovery. Recent experimental technologies allow for the rapid generation of large-scale data on antibody sequences, affinity, potency, structures, and biological functions; this should accelerate drug discovery research. Therefore, a robust bioinformatic infrastructure for these large data sets has become necessary. In this article, we first identify and discuss the typical obstacles faced during the antibody drug discovery process. We then summarize the current status of three sub-fields of antibody informatics as follows: (i) recent progress in technologies for antibody rational design using computational approaches to affinity and stability improvement, as well as ab-initio and homology-based antibody modeling; (ii) resources for antibody sequences, structures, and immune epitopes and open drug discovery resources for development of antibody drugs; and (iii) antibody numbering and IMGT. Here, we review “antibody informatics,” which may integrate the above three fields so that bridging the gaps between industrial needs and academic solutions can be accelerated. This article is part of a Special Issue entitled: Recent advances in molecular engineering of antibody.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics - Volume 1844, Issue 11, November 2014, Pages 2002-2015
Journal: Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics - Volume 1844, Issue 11, November 2014, Pages 2002-2015
نویسندگان
Hiroki Shirai, Catherine Prades, Randi Vita, Paolo Marcatili, Bojana Popovic, Jianqing Xu, John P. Overington, Kazunori Hirayama, Shinji Soga, Kazuhisa Tsunoyama, Dominic Clark, Marie-Paule Lefranc, Kazuyoshi Ikeda,