Fundamentals and methods for T‐and B‐cell epitope prediction
JL Sanchez-Trincado… - Journal of …, 2017 - Wiley Online Library
Adaptive immunity is mediated by T‐and B‐cells, which are immune cells capable of
developing pathogen‐specific memory that confers immunological protection. Memory and …
developing pathogen‐specific memory that confers immunological protection. Memory and …
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
Although the therapeutic efficacy and commercial success of monoclonal antibodies (mAbs)
are tremendous, the design and discovery of new candidates remain a time and cost …
are tremendous, the design and discovery of new candidates remain a time and cost …
An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study
The rampant spread of COVID-19, an infectious disease caused by SARS-CoV-2, all over
the world has led to over millions of deaths, and devastated the social, financial and political …
the world has led to over millions of deaths, and devastated the social, financial and political …
BepiPred-2.0: improving sequence-based B-cell epitope prediction using conformational epitopes
Antibodies have become an indispensable tool for many biotechnological and clinical
applications. They bind their molecular target (antigen) by recognizing a portion of its …
applications. They bind their molecular target (antigen) by recognizing a portion of its …
In-silico design of a multi-epitope vaccine candidate against onchocerciasis and related filarial diseases
Onchocerciasis is a parasitic disease with high socio-economic burden particularly in sub-
Saharan Africa. The elimination plan for this disease has faced numerous challenges. A …
Saharan Africa. The elimination plan for this disease has faced numerous challenges. A …
In silico analysis of epitope-based vaccine candidate against tuberculosis using reverse vaccinology
Tuberculosis (TB) kills more individuals in the world than any other disease, and a threat
made direr by the coverage of drug-resistant strains of Mycobacterium tuberculosis (Mtb) …
made direr by the coverage of drug-resistant strains of Mycobacterium tuberculosis (Mtb) …
Exploring dengue genome to construct a multi-epitope based subunit vaccine by utilizing immunoinformatics approach to battle against dengue infection
Dengue is considered as a major health issue which causes a number of deaths worldwide
each year; tropical countries are majorly affected by dengue outbreaks. It is considered as …
each year; tropical countries are majorly affected by dengue outbreaks. It is considered as …
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning
Motivation Recently, peptides have emerged as a promising class of pharmaceuticals for
various diseases treatment poised between traditional small molecule drugs and therapeutic …
various diseases treatment poised between traditional small molecule drugs and therapeutic …
In Silico Approach for Predicting Toxicity of Peptides and Proteins
Background Over the past few decades, scientific research has been focused on developing
peptide/protein-based therapies to treat various diseases. With the several advantages over …
peptide/protein-based therapies to treat various diseases. With the several advantages over …
Epitope-based vaccine design: a comprehensive overview of bioinformatics approaches
Highlights•Epitope vaccines provide maximal therapeutic efficacy with minimal side
effects.•Reverse vaccinology can be used for designing epitope vaccines.•Computational …
effects.•Reverse vaccinology can be used for designing epitope vaccines.•Computational …