Explaining and Predicting Allostery with Allosteric Database and Modern Analytical Techniques

Allostery is a phenomenon that the protein activity is regulated when a non-functional site on it is bounded. This phenomenon is important in life process and disease therapy. However, it is difficult to study allostery due to the lack of knowledge. Facing this demand, we have created Allosteric Database (ASD) 10 years before to collect numerous kinds of allosteric data. In this review, we will introduce the 4 categories of data in ASD. For each category, we further reviewed how researchers applied ASD data to conduct studies. We focused on their research topics, analytical methods and conclusions. Several discoveries of new drug targets and allosteric modulators driven by ASD are also summarized. We hope this review could inspire researchers with new utilities of ASD data.(c) 2022 Elsevier Ltd. All rights reserved.

Automated summary

Allostery is an important regulatory phenomenon in life processes and disease therapy, but studying it has been challenging due to the lack of knowledge. To address this, we created the Allosteric Database (ASD) and reviewed the four categories of data in this database and how researchers have utilized them for their studies. Several new drug targets and allosteric modulators discovered through the use of ASD are also highlighted.