The invention relates to the technical field of
computational chemistry and
drug screening, and discloses a fluorinated derivative
screening method based on computer-aided design, which comprises the following steps: acquiring an initial binding conformation of
fluorine-containing molecules and a target
system, and constructing a follow-up local orthogonal coordinate
system by taking the axial direction of a
fluorocarbon bond as a reference; projection coordinates of the environmental particles relative to the
fluorocarbon bonds are calculated and mapped as a spherical coordinate index, a preset anisotropic
potential energy surface grid is called, and a
potential energy value is calculated through interpolation; the method comprises the following steps: generating an anisotropic correction term, monitoring the modulus length of the
energy gradient in real time, and when the modulus length of the
energy gradient exceeds a sensitive threshold value, adaptively and nonlinearly reducing a sampling step length and executing high-frequency local sampling in a sensitive area. The problem of false negative activity prediction caused by insufficient sampling when a traditional equal-step
algorithm is used for
processing anisotropic distribution of
fluorine atom
electron clouds is solved, and the recognition precision and screening efficiency for weak directional interaction such as
halogen bonds are improved.