Department of Nutrition, Food Sciences & Gastronomy, Faculty of Pharmacy & Food Sciences, Campus Torribera, Institute of Biomedicine (IBUB), & Institute of Theoretical & Computational Chemistry (IQTC-UB), University of Barcelona, Av. Prat de la Riba 171, Santa Coloma de Gramenet E-08921, Spain.
Pharmacelera, Plaça Pau Vila, 1, Sector 1, Edificio Palau de Mar, Barcelona 08039, Spain.
Future Med Chem. 2019 May;11(10):1177-1193. doi: 10.4155/fmc-2018-0435. Epub 2019 Feb 25.
The pharmacophore concept is a fundamental cornerstone in drug discovery, playing a critical role in determining the success of techniques, such as virtual screening and 3D-QSAR studies. The reliability of these approaches is influenced by the quality of the physicochemical descriptors used to characterize the chemical entities. In this context, a pivotal role is exerted by lipophilicity, which is a major contribution to host-guest interaction and ligand binding affinity. Several approaches have been undertaken to account for the descriptive and predictive capabilities of lipophilicity in 3D-QSAR modeling. Recent efforts encode the use of quantum mechanical-based descriptors derived from continuum solvation models, which open novel avenues for gaining insight into structure-activity relationships studies.
药效团概念是药物发现的一个基本基石,在决定虚拟筛选和 3D-QSAR 研究等技术的成功方面起着关键作用。这些方法的可靠性受到用于描述化学实体的物理化学描述符的质量的影响。在这种情况下,亲脂性起着关键作用,它是主体-客体相互作用和配体结合亲和力的主要贡献者。已经采取了几种方法来解释 3D-QSAR 建模中亲脂性的描述和预测能力。最近的努力包括使用来自连续溶剂化模型的基于量子力学的描述符,这为深入研究结构-活性关系研究开辟了新的途径。