Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Herbal Informatics: A Unique Model to Identify the Anti-Cancerous Agents for Targeting Lung Cancer

Version 1 : Received: 1 December 2020 / Approved: 7 December 2020 / Online: 7 December 2020 (09:35:10 CET)

How to cite: Wardhan, R.; Tanwar, A.; Dutta, P.; Jha, I.; Sharma, R.; Ali Zaidi, A.; Chawla, R.; Arora, R.; Khan, H.A. Herbal Informatics: A Unique Model to Identify the Anti-Cancerous Agents for Targeting Lung Cancer. Preprints 2020, 2020120132 (doi: 10.20944/preprints202012.0132.v1). Wardhan, R.; Tanwar, A.; Dutta, P.; Jha, I.; Sharma, R.; Ali Zaidi, A.; Chawla, R.; Arora, R.; Khan, H.A. Herbal Informatics: A Unique Model to Identify the Anti-Cancerous Agents for Targeting Lung Cancer. Preprints 2020, 2020120132 (doi: 10.20944/preprints202012.0132.v1).

Abstract

The incidence of lung cancer has increased in recent years and causes major mortalities across the globe. Besides, the availability of the several chemotherapeutics modalities in the management, there is still a challenge to find out an efficient remedy with lesser or no toxic effects. Hence, there is a necessity to employ complementary research to establish effective management for lung cancer. In this study, we have implemented a novel herbal informatics model to find out the alternative remedy in the treatment of lung cancer. This model utilizes five major steps of the bioprospection process based on the classical surge followed by the binary index and rationale-based selection of herbal products targeting the cancer-causing factors which are explained in detail in the methodology section of this model. This study revealed 07 herbals such as Withania somnifera (Ws), Berberis vulgaris(Bv), Glycyrrhiza glabra(Gg), Andrographis paniculate(Ap), Azadirachta indica(Ai), Cinnamomum Verum(Cv), Piper longum(Pl) based on the fuzzy set optimization scoring(0.6-1) that could be further studied in vitro and in vivo level for utilization in the management of lung cancer.

Subject Areas

Herbal Informatics; Ayurveda; Lung Cancer; Ethnopharmacology; Natural Compounds; Alternative Medicine

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