Abstract
Human Seminal Plasma Prostatic Inhibin (HSPI) is a biologically important protein of 94 amino acids isolated from the human prostate glands. No information is yet available on its 3d-structure. Here, we use a nonparametric regression approach to determine the 3d-structure of HSPI. This approach has been validated earlier and is found to be better in accuracy and efficiency than other computational approaches. The structure predicted by us agrees with the properties ofHSPI deciphered experimentally.