Naïve Human Antibody Libraries for Infectious Diseases
By S. Chan, A. Rahumatullah, Jing Yi Lai, Theam Soon Lim. 2018
27 citations recorded by the source corpus.
Many countries are facing an uphill battle in combating the spread of infectious diseases. The constant evolution of microorganisms magnifies the problem as it facilitates the re-emergence of old infectious diseases as well as promote the introduction of new and more deadly variants. Evidently, infectious diseases have contributed to an alarming rate of mortality worldwide making it a growing concern. Historically, antibodies have been used successfully to prevent and treat infectious diseases since the nineteenth century using antisera collected from immunized animals. The inherent ability of antibodies to trigger effector mechanisms aids the immune system to fight off pathogens that invades the host. Immune libraries have always been an important source of antibodies for infectious diseases due to the skewed repertoire generated post infection. Even so, the role and ability of naïve antibody libraries should not be underestimated. The naïve repertoire has its own unique advantages in generating antibodies against target antigens. This chapter will highlight the concept, advantages and application of human naïve libraries as a source to isolate antibodies against infectious disease target antigens.
Subfields: Ecology, Immunology, 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 Immunology
- Adam J. Riesselman
- Christopher Sander
- Jung-Eun Shin
- Aaron W. Kollasch
- Elana Simon
- A. Manglik
- Debora Marks
- A. Kruse
In Radiology, Nuclear Medicine and Imaging
- Adam J. Riesselman
- Christopher Sander
- Jung-Eun Shin
- Aaron W. Kollasch
- Elana Simon
- A. Manglik
- Debora Marks
- A. Kruse
Citations in the corpus
- Protein design and variant prediction using autoregressive generative models (2021, methodology): “We then trained our validated statistical method on naïve nanobody repertoires 57 as naïve antibody repertoires have been shown to have functional sequences with the capacity to target diverse antigens 58 and used it to generate probable sequences.”