Pepitope: epitope mapping from affinity-selected peptides

نویسندگان

  • Itay Mayrose
  • Osnat Penn
  • Elana Erez
  • Nimrod D. Rubinstein
  • Tomer Shlomi
  • Natalia Tarnovitski Freund
  • Erez M. Bublil
  • Eytan Ruppin
  • Roded Sharan
  • Jonathan M. Gershoni
  • Eric Martz
  • Tal Pupko
چکیده

UNLABELLED Identifying the epitope to which an antibody binds is central for many immunological applications such as drug design and vaccine development. The Pepitope server is a web-based tool that aims at predicting discontinuous epitopes based on a set of peptides that were affinity-selected against a monoclonal antibody of interest. The server implements three different algorithms for epitope mapping: PepSurf, Mapitope, and a combination of the two. The rationale behind these algorithms is that the set of peptides mimics the genuine epitope in terms of physicochemical properties and spatial organization. When the three-dimensional (3D) structure of the antigen is known, the information in these peptides can be used to computationally infer the corresponding epitope. A user-friendly web interface and a graphical tool that allows viewing the predicted epitopes were developed. Pepitope can also be applied for inferring other types of protein-protein interactions beyond the immunological context, and as a general tool for aligning linear sequences to a 3D structure. AVAILABILITY http://pepitope.tau.ac.il/

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

PepMapper: A Collaborative Web Tool for Mapping Epitopes from Affinity-Selected Peptides

Epitope mapping from affinity-selected peptides has become popular in epitope prediction, and correspondingly many Web-based tools have been developed in recent years. However, the performance of these tools varies in different circumstances. To address this problem, we employed an ensemble approach to incorporate two popular Web tools, MimoPro and Pep-3D-Search, together for taking advantages ...

متن کامل

Epitope mapping using combinatorial phage-display libraries: a graph-based algorithm

A phage-display library of random peptides is a combinatorial experimental technique that can be harnessed for studying antibody-antigen interactions. In this technique, a phage peptide library is scanned against an antibody molecule to obtain a set of peptides that are bound by the antibody with high affinity. This set of peptides is regarded as mimicking the genuine epitope of the antibody's ...

متن کامل

In silico design a multivalent epitope vaccine against SARS-CoV-2 for Iranian populations

Background: Due to high genetic variation in human leukocyte antigen )HLA( alleles, epitope-based vaccines don’t show equal efficacy in different human populations. therefore, we proposed a multi-epitope vaccine against SARS-CoV-2 for Iranian populations. Materials and Methods: For this purpose, the proteins without allergenicity and high antigenicity as well as conservancy level from SARS-CoV...

متن کامل

Identification and Characterization of Novel Binding Epitope of Tetanus Toxoid by Phage Display Peptide Library

Phage display peptide libraries are widely used in various protein-protein interaction studies to determine the immunological binding of proteins and epitope mapping of different targets. In the present study, the peptide library is used to identify the Fab binding epitope site of Tetanus Toxoid (TT). The peptides were screened against Fab by biopanning, using a random peptide 12mer phage displ...

متن کامل

Epitope mapping using mRNA display and a unidirectional nested deletion library.

In vitro selection targeting an anti-polyhistidine monoclonal antibody was performed using mRNA display with a random, unconstrained 27-mer peptide library. After six rounds of selection, epitope-like peptides were identified that contain two to five consecutive, internal histidines and are biased for arginine residues, without any other identifiable consensus. The epitope was further refined b...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Bioinformatics

دوره 23 23  شماره 

صفحات  -

تاریخ انتشار 2007