Antibody modeling using the Prediction of ImmunoGlobulin Structure (PIGS) web server
By Paolo Marcatili, Pier Paolo Olimpieri, Anna Chailyan, Anna Tramontano. 2014
48 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
In Molecular Biology
- Alessandro Sette
- Bjoern Peters
- Sinu Paul
- Swapnil Mahajan
- Sandeep Kumar Dhanda
- Ward Fleri
- Xiaojun Xu
- Rosalba Lepore
In Radiology, Nuclear Medicine and Imaging
- Alessandro Sette
- Bjoern Peters
- Anna Tramontano
- Pier Paolo Olimpieri
- Ward Fleri
- Sinu Paul
- Swapnil Mahajan
- Xiaojun Xu
Citations in the corpus
- Maximum-Entropy Models of Sequenced Immune Repertoires Predict Antigen-Antibody Affinity (2016, unknown): “We first aligned our data set according to the KabatChothia numbering scheme, using a modified version of the antibody-specific HMMs developed by us previously [28, 29].”
- The Immune Epitope Database and Analysis Resource in Epitope Discovery and Synthetic Vaccine Design (2017, background): “RosettaAntibody (74) and PIGS (75) are two applications that model antibodies.”
- PIGSPro: prediction of immunoGlobulin structures v2 (2017, methodology): “To this purpose we used the same strategy previously adopted in (26) and summarized below, as well as the same benchmark dataset.”