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 …

Abstract Coronavirus disease 2019 (COVID‐19) pandemic has exemplified how viral growth
and transmission are a significant threat to global biosecurity. The early detection and …

Accurate predictive modeling of antibody-antigen complex structures and structure-based
antibody design remain major challenges in computational biology, with implications for …

The conventional approach for designing vaccine against a particular disease involves
stimulation of the immune system using the whole pathogen responsible for the disease. In …

Antibodies are crucial biomolecules that bring high therapeutic efficacy in medicine and
accurate molecular detection in diagnosis. Many studies have been devoted to analyzing …

Antibodies are one of the most important protein molecules in biopharmaceutics. Due to the
recent advance in technology for producing monoclonal antibodies, many structural data are …

Computational biology involves applying computer science and informatics techniques in
biology to understand complex biological data. It allows us to collect, connect, and analyze …

Allergic diseases represent a major health concern worldwide due to steady rise in their
prevalence leading to increased disease burden. The field of allergy research has …

With advancements in sequencing technologies, vast amount of experimental data has
accumulated. Due to rapid progress in the development of bioinformatics tools and the …

abstract Synthetic libraries are a major source of human-like antibody (Ab) drug leads. To
assess the similarity between natural Abs and the products of these libraries, we compared …