A Computational approach in identifying the herbal compounds as Lactation inducer

A Computational approach in identifying the herbal compounds as Lactation inducer Jeyabaskar Suganya Assistant Professor Department of Bioinformatics, School of Life Sciences, VISTAS, Chennai - 600117, Tamil Nadu, India. G. Rajesh Kumar Assistant Professor, Department of Pharmacology, Govt. Kilpauk Medical College, Chennai, Tamil Nadu, India. Mahendran Radha Professor, Department of Bioinformatics, School of Life Sciences, VISTAS, Chennai - 600117, Tamil Nadu, India. Sagolsem Mandaly Devi Student, Department of Bioinformatics, School of Life Sciences, VISTAS, Chennai - 600117, Tamil Nadu, India.

Lactation disorder (i.e. insufficient lactation) is one of the major problems faced by 60%-80% of the females in this generation during post-pregnancy period. A mother who has insufficient lactation is prescribed drugs to boost the production of prolactin hormone and studies on these drugs reported that they cause some adverse effects for the women as well as infants. Over the past decade the herbal products hold special attention in modern medicine after its efficacy and safety well established in clinical trials, because of its easy availability and standardization procedure. The aim of this research work is to identify the natural bioactive compounds with galactagogue property among the five renowned medicinal plants such as Sambucus nigra, Melissa officinalis, Matricaria recutita, Urtica dioica, and Trigonella foenum-graecum. In this study the bioactive compounds present in the plants were identified through literature survey and these compounds were screened for its drug likeness properties. Those compounds which satisfy the drug likeness properties were further analysed for its Prolactin inducing activity through computational approaches. The result of this study concluded that the natural bioactive compound holds good inducing activity towards the protein Prolactin when compared with the common prescribed drugs. In future this study could be further designed to highlight the efficiency of prolactin inducing compound towards drug development process.
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