Cancer is described as majour disease that is characterised by theuncontrolled growth of abnormal cells that are capable of spreading to othercells in the vicinity and organs.
Inspite of the availability of effectivechemotherapy and effective drugs, cancer remains a leading deadline diseaseworld-wide. However, even with it being very common no effective drug has beendeveloped to fight aginst cancer.The failure of potential drug candidates in clinical trials and sideeffect of already approved drugs has led researches look at new stratergies fordeveloping drugs from naturally occurring medicinal plants. There are manymedicinal plants that are known to have good anti cancer properties. The bioactive components of the medicinal plants called phytochemicals are responsiblefor the therapeutic effects.There have been many studies on therapeuticapplication of these phytochemicals against cancer. In recent years naturalproducts with good antitcancer activity and fewer side effects, have gainedincreasing scientific attention.Computationalstudy on the phytochemicals can helps to identify the potential moleculeagainst the target of cancer.
Present study on phytochemical was designed to develop better alternativeagent against cancer. computationalbiology and bioinformatics have very important to pinpoint the drug designingprocess.for speed up the rational drug designing process there involve avariety method to identify the noval compound.docking is one of such method .inother words docking is method which predict the prefeared orientation of smallmolecule drug canididates to their protein target.computational method such asmolecular docking is one of the bestmethod of predicting the bioactive components from plants.
insilico based drugdiscovery is a promising stratergy for the development of therapeutic from manydisease including cancer. Due to the increase in data available on proteinstructure and small molecule the computational drug discovery has increased theefficacy of drug designing processs. There are basically two method involve incomputational drug discovery, Structure based drug discovery and Ligand baseddrug discovery. Here we use structure based drug discovery to identify the potentialdrug candidates against human cancer. identifying binding sites andprotein-ligand interactions using bioinformatics tools before wet laboratorystudies saves the energy and time of the drug discovery process.
