Centre for Analysis and Synthesis, Department of Chemistry , Lund University , 221 00 Lund , Sweden.
Biophysical Chemistry, Center for Molecular Protein Science, Department of Chemistry , Lund University , 221 00 Lund , Sweden.
J Am Chem Soc. 2019 Feb 6;141(5):2012-2026. doi: 10.1021/jacs.8b11099. Epub 2019 Jan 23.
Understanding the driving forces underlying molecular recognition is of fundamental importance in chemistry and biology. The challenge is to unravel the binding thermodynamics into separate contributions and to interpret these in molecular terms. Entropic contributions to the free energy of binding are particularly difficult to assess in this regard. Here we pinpoint the molecular determinants underlying differences in ligand affinity to the carbohydrate recognition domain of galectin-3, using a combination of isothermal titration calorimetry, X-ray crystallography, NMR relaxation, and molecular dynamics simulations followed by conformational entropy and grid inhomogeneous solvation theory (GIST) analyses. Using a pair of diastereomeric ligands that have essentially identical chemical potential in the unbound state, we reduced the problem of dissecting the thermodynamics to a comparison of the two protein-ligand complexes. While the free energies of binding are nearly equal for the R and S diastereomers, greater differences are observed for the enthalpy and entropy, which consequently exhibit compensatory behavior, ΔΔ H°(R - S) = -5 ± 1 kJ/mol and - TΔΔ S°(R - S) = 3 ± 1 kJ/mol. NMR relaxation experiments and molecular dynamics simulations indicate that the protein in complex with the S-stereoisomer has greater conformational entropy than in the R-complex. GIST calculations reveal additional, but smaller, contributions from solvation entropy, again in favor of the S-complex. Thus, conformational entropy apparently dominates over solvation entropy in dictating the difference in the overall entropy of binding. This case highlights an interplay between conformational entropy and solvation entropy, pointing to both opportunities and challenges in drug design.
理解分子识别的驱动力在化学和生物学中具有重要意义。挑战在于将结合热力学分解为单独的贡献,并从分子角度解释这些贡献。在这方面,结合自由能的熵贡献特别难以评估。在这里,我们使用等温滴定量热法、X 射线晶体学、NMR 弛豫和分子动力学模拟,结合构象熵和网格不均匀溶剂化理论(GIST)分析,确定了半乳凝素-3 糖识别结构域与配体亲和力差异的分子决定因素。使用一对在非键合状态下化学势基本相同的非对映异构体配体,我们将热力学分解的问题简化为比较两个蛋白质-配体复合物。虽然 R 和 S 非对映异构体的结合自由能几乎相等,但焓和熵的差异更大,因此表现出补偿行为,ΔΔ H°(R - S) = -5 ± 1 kJ/mol 和 - TΔΔ S°(R - S) = 3 ± 1 kJ/mol。NMR 弛豫实验和分子动力学模拟表明,与 R-复合物相比,与 S-立体异构体结合的蛋白质具有更大的构象熵。GIST 计算显示,溶剂化熵也有额外的但较小的贡献,再次有利于 S-复合物。因此,构象熵显然在决定结合自由能整体熵的差异方面占主导地位。这种情况突出了构象熵和溶剂化熵之间的相互作用,为药物设计指明了机遇和挑战。