Machine learning can be theoretically studied by learning models and defined as a process or method by which it can modify its own behavior as the result of its past experience and performance. This paper deals with one of the applications of machine learning related to System biology (or Computational biology). Here, a variant of P system model is newly discovered in biological sciences, which are increasingly enabled by machine learning and thereby help to build models from other biological data. Thus we claim, Biology can be transformed from a descriptive science to a predictive science in near future
