A Paradigm Shift in Experimental Biochemistry: A Priori Estimation of Physical Parameters of Biomolecules

K. Kulikov, T. Koshlan, A. P. Golovitsky
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Abstract

This paper proposes a new paradigm for the biophysical concept of measuring the affinity of molecular complexes, based on a matrix representation of biological interactions and subsequent numerical analysis of the stability of this matrix. Our numerical criterion of stability (lg(cond([Formula: see text]))) correlates well with experimental values such as [Formula: see text] and IC[Formula: see text] as well as with experimental data of aggregation kinetics in studies of amyloid peptides. The main goal of this work is to reduce the cost of biochemical experiments by obtaining preliminary information on the interaction of chemical compounds. The paper also presents our numerical calculations in comparison with a large amount of experimental data on the examples of binding of small chemical molecules gefitinib, erlotinib, imatinib, naquatinib, and CO-1686 with proteins, protein–peptide interactions of the Bcl-2 protein family, antibody–antigen CD20–rituximab, and aggregation of amyloid peptides. The description of the software package that implements the presented algorithm is given on the website: https://binomlabs.com/ .
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实验生物化学的范式转变:生物分子物理参数的先验估计
本文基于生物相互作用的矩阵表示和随后对该矩阵稳定性的数值分析,提出了一种测量分子复合物亲和力的生物物理概念的新范式。我们的稳定性数值标准(lg(cond([公式:见文])))与实验值(如[公式:见文]和IC[公式:见文])以及淀粉样肽研究中聚集动力学的实验数据有很好的相关性。这项工作的主要目标是通过获得化合物相互作用的初步信息来降低生化实验的成本。本文还以化学小分子吉非替尼、厄洛替尼、伊马替尼、那奎替尼和CO-1686与蛋白质结合、Bcl-2蛋白家族的蛋白-肽相互作用、抗体-抗原cd20 -利妥昔单抗和淀粉样肽聚集为例,与大量实验数据进行了数值计算对比。实现该算法的软件包的描述在网站https://binomlabs.com/上给出。
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