ProPred: prediction of HLA-DR binding sites
By Harpreet Singh, Gajendra P. Raghava. Bioinform., 2001
880 citations recorded by the source corpus.
Subfields: Immunology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/ea7dfaefb0a89ab9be41daaa264878a7770a5e10
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Immunology
- Bjoern Peters
- Morten Nielsen
- Alessandro Sette
- Massimo Andreatta
- Manoj Bhasin
- Gajendra P. Raghava
- Paolo Marcatili
- S. Rosales‐Mendoza
In Molecular Biology
- Bjoern Peters
- Morten Nielsen
- Alessandro Sette
- Massimo Andreatta
- Manoj Bhasin
- John Sidney
- Paolo Marcatili
- J. Greenbaum
Citations in the corpus
- A Systematic Assessment of MHC Class II Peptide Binding Predictions and Evaluation of a Consensus Approach (2008, methodology): “PROPRED [54] and SVMHC [55] are web servers based on TEPITOPE’s pocket profile [29].”
- Fundamentals and Methods for T- and B-Cell Epitope Prediction (2017, neutral): “in/raghava/propred/ QAM II X X — — [91]”
- VacSol: a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology (2017, methodology): “[42] UniProt-SwissProt Manually annotated protein sequences database with information extracted from literature.”
- Prediction of CTL epitopes using QM, SVM and ANN techniques. (2004, methodology): “The currently available indirect methods are based on structure, binding motifs, matrices or Artificial Neural networks (ANNs) [17] [18] [19] [20] [21] [22] [23] [24].”
- An overview of bioinformatics tools for epitope prediction: Implications on vaccine development (2015, methodology): “The server will assist in locating promiscuous binding regions that are useful in selecting vaccine candidates covering 51 alleles [52].”
- ProPred1: Prediction of Promiscuous MHC Class-I Binding Sites (2003, methodology): “In this direction, we have previously developed ProPred (Singh and Raghava, 2001) for predicting the promiscuous MHC class-II binding peptides.”
- T-cell epitope vaccine design by immunoinformatics (2013, methodology): “Another tool using VM is ProPred, created by Singh & Ragava [125], where the profiles of the MHC protein pockets created by Sturniolo served as a foundation for the models.”
- Improved methods for predicting peptide binding affinity to MHC class II molecules (2018, methodology): “Given this, many different methods have been developed, including NetMHCII (15), NetMHCIIpan (16), TEPITOPE (17), TEPITOPEpan (18),PROPRED (19), RANKPEP (20)(21) and SVRMHC (22).”