Department of Chemistry, Stony Brook University, Stony Brook, New York 11794-3600, United States.
J Am Chem Soc. 2012 Dec 5;134(48):19639-51. doi: 10.1021/ja305755b. Epub 2012 Nov 20.
Cyanovirin-N (CVN) is a cyanobacterial lectin with potent antiviral activity and has been the focus of extensive preclinical investigation as a potential prophylactic for the prevention of the sexual transmission of the human immunodeficiency virus (HIV). Here we present a detailed analysis of carbohydrate recognition by this important protein, using a combination of computational methods, including extensive molecular dynamics simulations and molecular mechanics/Poisson-Boltzmann surface area (MM/PBSA) energetic analysis. The simulation results strongly suggest that the observed tendency of wild-type CVN to form domain-swapped dimers is the result of a previously unidentified cis-peptide bond present in the monomeric state. The energetic analysis additionally indicates that the highest-affinity ligand for CVN characterized to date (α-Man-(1,2)-α-Man-(1,2)-α-Man) is recognized asymmetrically by the two binding sites. Finally, we are able to provide a detailed map of the role of all binding site functional groups (both backbone and side chain) to various aspects of molecular recognition: general affinity for cognate ligands, specificity for distinct oligosaccharide targets, and the asymmetric recognition of α-Man-(1,2)-α-Man-(1,2)-α-Man. Taken as a whole, these results complement past experimental characterization (both structural and thermodynamic) to provide the most complete understanding of carbohydrate recognition by CVN to date. The results also provide strong support for the application of similar approaches to the understanding of other protein-carbohydrate complexes.
Cyanovirin-N(CVN)是一种蓝藻凝集素,具有很强的抗病毒活性,作为预防人类免疫缺陷病毒(HIV)性传播的潜在预防药物,已受到广泛的临床前研究关注。在这里,我们使用包括广泛的分子动力学模拟和分子力学/泊松-玻尔兹曼表面面积(MM/PBSA)能量分析在内的计算方法,对该重要蛋白质的碳水化合物识别进行了详细分析。模拟结果强烈表明,野生型 CVN 形成结构域交换二聚体的趋势是由于单体状态下存在先前未被识别的顺式肽键。能量分析还表明,迄今为止表征的 CVN 亲和力最高的配体(α-Man-(1,2)-α-Man-(1,2)-α-Man)被两个结合位点不对称识别。最后,我们能够提供结合位点所有功能基团(主链和侧链)在分子识别的各个方面(包括对同源配体的一般亲和力、对不同寡糖靶标的特异性以及对α-Man-(1,2)-α-Man-(1,2)-α-Man 的不对称识别)的详细图谱。总的来说,这些结果补充了过去的实验特征(结构和热力学),提供了迄今为止对 CVN 碳水化合物识别的最完整理解。结果还为应用类似方法理解其他蛋白质-碳水化合物复合物提供了强有力的支持。