  Geometric algebra is a powerful framework that unifies mathematics and
physics. Since its revival in the middle of the 1960s by David Hestenes, it
attracts great attention and has been exploited in many fields such as physics,
computer science, and engineering. This work introduces a geometric algebra
method for the molecular surface generation that utilizes the Clifford-Fourier
transform which is a generalization of the classical Fourier transform.
Notably, the classical Fourier transform and Clifford-Fourier transform differ
in the derivative property in $R_k$ for k even. This distinction is due to the
noncommutativity of geometric product of pseudoscalars with multivectors and
has significant consequences in applications. We use the Clifford-Fourier
transform in $R_3$ to benefit from the derivative property in solving partial
differential equations (PDEs). The Clifford-Fourier transform is used to solve
the mode decomposition process in PDE transform. Two different initial cases
are proposed to make the initial shapes used in the present method. The
proposed method is applied first to small molecules and proteins. To validate
the method, the molecular surfaces generated are compared to surfaces of other
definitions. Applications are considered to protein electrostatic analysis.
This work opens the door for further applications of geometric algebra and
Clifford-Fourier transform in biological sciences.
