ProPred1: Prediction of Promiscuous MHC Class-I Binding Sites

By Harpreet Singh, Gajendra P. Raghava. Bioinform., 2003

445 citations recorded by the source corpus.

Subfields: Immunology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/10d79ce5055da96ecc9b5cfae2c4328850afe0d1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Immunology

1. Manoj Bhasin
2. Marta Gomez-Perosanz
3. J. L. Sánchez-Trincado
4. Pedro A. Reche
5. Gajendra P. Raghava

In Molecular Biology

1. Manoj Bhasin
2. Marta Gomez-Perosanz
3. J. L. Sánchez-Trincado
4. Pedro A. Reche
5. Gajendra P. Raghava
6. Kuo-Chen Chou
7. Irini A. Doytchinova

Citations in the corpus

• Fundamentals and Methods for T- and B-Cell Epitope Prediction (2017, background): “in/raghava/propred1/ QAM I X X — X [92]”
• Prediction of CTL epitopes using QM, SVM and ANN techniques. (2004, methodology): “The quantitative matrices were obtained from ProPred1 server[23].”
• VacSol: a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology (2017, background): “[41] Propred Prediction of MHC Class-II binding regions in an antigen sequence.”