DRREP: deep ridge regressed epitope predictor
Abstract Introduction The ability to predict epitopes plays an enormous role in vaccine development in terms of our ability to zero in on where to do a more thorough in-vivo analysis of the protein in question. Though for the past decade there have been numerous advancements and improvements in epit...
Main Authors: | Gene Sher, Degui Zhi, Shaojie Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2017-10-01
|
Series: | BMC Genomics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12864-017-4024-8 |
Similar Items
-
Deep learning methods improve linear B-cell epitope prediction
by: Tao Liu, et al.
Published: (2020-04-01) -
Improved computational epitope profiling using structural models identifies a broader diversity of antibodies that bind to the same epitope
by: Fabian C. Spoendlin, et al.
Published: (2023-09-01) -
Editorial: Epitope Discovery and Synthetic Vaccine Design
by: Clarisa Beatriz Palatnik-de-Sousa, et al.
Published: (2018-04-01) -
Snowflake: A deep learning-based human leukocyte antigen matching algorithm considering allele-specific surface accessibility
by: Matthias Niemann, et al.
Published: (2022-07-01) -
In silico prediction of T- and B-cell epitopes in PmpD: First step towards to the design of a Chlamydia trachomatis vaccine
by: Romina Cecilia Russi, et al.
Published: (2018-04-01)