Transcriptional regulation is a new idea in which a class of shortened transcription factors (TFs) termed microproteins (miPs) interact with TF complexes and offer feedback controls. A few occurrences of miP have been recorded in the literature, but the degree of their occurrence is unknown. We offer an algorithm that identifies miPs and associated target TFs from the a sequenced genome. The algorithm is known as miP prediction programme (miP3), and it is written in Python. The programme will assist shed insight just on prevalence, biological functions, and development of miPs. Furthermore, miP3 may be used to anticipate new forms of miP-like protein that could have originated from those other functional classes including such kinases and receptors.