The rise of state-centric biophysics: integrating orthogonal molecular readouts across biophysical scales
📄 英文摘要 English Abstract
Abstract Modern biophysics has evolved from the measurement of isolated molecular properties toward increasingly integrated molecular characterization. Advances in instrumentation, orthogonal workflows, and multidimensional analytical platforms have expanded the breadth of molecular information obtainable from a single experimental context, increasing what we define here as “information density”. In this review, we examine the scientific and technological forces underlying this transition and propose state-centric biophysics as an interpretive framework in which biophysical properties like affinity, kinetics, thermodynamics, stability, structural dynamics, hydrodynamics, ligand occupancy, and assembly state are viewed as complementary descriptors of a shared molecular-state landscape rather than as independent experimental outputs. Representative case studies, including targeted protein degradation, molecular glues, Heat Shock Protein 90 (HSP90) molecular cycle and inhibition, and state-selective inhibition of Kirsten Rat Sarcoma Viral Oncogene Homolog G12C (KRAS G12C), illustrate how biological activity frequently depends on molecular-state properties that extend beyond ligand occupancy alone. Collectively, these observations suggest that the central challenge of modern biophysics is increasingly shifting from measuring molecular properties to identifying the molecular states that govern mechanism, efficacy, selectivity, and therapeutic response.
📄 中文摘要 Chinese Abstract
📋 英文结构化总结 English Structured Summary
摘要整理
Background:
Modern biophysics has evolved from the measurement of isolated molecular properties toward increasingly integrated molecular characterization. Advances in instrumentation, orthogonal workflows, and multidimensional analytical platforms have expanded the breadth of molecular information obtainable from a single experimental context, increasing what we define here as “information density”.
Methods:
This review examines the scientific and technological forces underlying this transition and proposes state-centric biophysics as an interpretive framework in which biophysical properties like affinity, kinetics, thermodynamics, stability, structural dynamics, hydrodynamics, ligand occupancy, and assembly state are viewed as complementary descriptors of a shared molecular-state landscape rather than as independent experimental outputs.
Results:
Representative case studies, including targeted protein degradation, molecular glues, Heat Shock Protein 90 (HSP90) molecular cycle and inhibition, and state-selective inhibition of Kirsten Rat Sarcoma Viral Oncogene Homolog G12C (KRAS G12C), illustrate how biological activity frequently depends on molecular-state properties that extend beyond ligand occupancy alone.
Data Summary:
No quantitative results or key statistics are reported in the abstract.
Conclusions:
Collectively, these observations suggest that the central challenge of modern biophysics is increasingly shifting from measuring molecular properties to identifying the molecular states that govern mechanism, efficacy, selectivity, and therapeutic response.
Practical Significance:
These observations support interpreting biological activity in targeted protein degradation, molecular glues, HSP90 molecular cycle and inhibition, and state-selective inhibition of KRAS G12C through molecular-state properties that extend beyond ligand occupancy alone.
📋 中文结构化总结 Chinese Structured Summary
背景:
现代生物物理学已从对孤立分子性质的测量,发展为日益整合的分子表征。仪器、正交工作流程和多维分析平台的进步,扩展了从单一实验情境中可获得的分子信息广度,提高了本文所定义的“信息密度”。
方法:
本综述考察了推动这一转变的科学和技术力量,并提出以状态为中心的生物物理学作为解释框架。在该框架中,亲和力、动力学、热力学、稳定性、结构动力学、流体动力学、配体占据和组装状态等生物物理性质,被视为共享分子状态景观的互补描述符,而非独立的实验输出。
结果:
代表性案例研究,包括靶向蛋白降解、分子胶、热休克蛋白90(HSP90)分子周期及其抑制,以及Kirsten大鼠肉瘤病毒癌基因同源物G12C(KRAS G12C)的状态选择性抑制,阐明了生物活性往往依赖于超越单纯配体占据的分子状态性质。
数据摘要:
摘要中未报告定量结果或关键统计数据。
结论:
综合来看,这些观察结果表明,现代生物物理学的核心挑战正日益从测量分子性质,转向识别决定机制、疗效、选择性和治疗反应的分子状态。
实际意义:
这些观察结果支持通过超越单纯配体占据的分子状态性质,来解释靶向蛋白降解、分子胶、HSP90分子周期及其抑制以及KRAS G12C状态选择性抑制中的生物活性。