Lung biosurfactants are essential biomolecules which help in normal breathing, alveolar stability, and defense systems. One of the most common human lung biosurfactants, SP-D, is useful to combat various respiratory diseases such as IPF, ILD, COPD, GERD, HLA-B27, VKH, CF and PH. In this work, 3 human lung biosurfactants, SP-A, SP-D and MBP-C have been opted and analysed based on their binding affinities to Antigens and Moldock scores. This analysis leads to selection of one of the BS, SP-D. The SP-D gene is then suggested to be inserted into a commercial DH5 α E.coli strain and the large scale production of SP-D is done according to the calculated world requirement. In short, these in-silico and in-vitro interaction studies have been done to find the best native and modeled mutant BS proteins which can help us fight various pulmonary diseases occurring due to attack of microbes as well as to cure the in-born defects in pulmonary metabolism. This book deals with the study of lung BS interactions. It would be helpful for those trying to research using various tools available with bioinformatics and also for those trying to tread the path of large scale production.