History of metabolism originates with yeast making bread. In fact, study based on “Yeast” was so crucial in the development of the field of biochemistry that the word “enzyme” is derived from the Greek word meaning leavened (yeast). Yeast has always been a point of interest as a eukaryotic model system to demonstrate the metabolites and their function. In recent times their metabolites are widely studied to predict their role in various pathways. Many traditional and analytical techniques have been employed, but its study through metabolomics is of recent interest in research. The present review focuses on details about yeast metabolomics based on preliminary research on various analytical techniques along with computational approaches. The review also aimed to highlight machine learning and various inceptions of yeast metabolomics.

代谢史起源于酵母制作面包。实际上，基于“酵母”的研究对于生物化学领域的发展至关重要，以至于“酶”一词源自希腊语“酵素”（酵母）。酵母一直是人们关注的一个真核生物模型系统，可以证明其代谢产物及其功能。最近，人们广泛研究了它们的代谢产物，以预测其在各种途径中的作用。已经采用了许多传统和分析技术，但是通过代谢组学进行的研究在研究中引起了人们的兴趣。本文基于各种分析技术和计算方法的初步研究，着重于酵母代谢组学的细节。这篇综述的目的还在于突出机器学习和酵母代谢组学的各种概念。