چکیده (انگلیسی):

In the big data era, voluminous datasets are routinely acquired, stored and analyzed with the aim to inform
biomedical discoveries and validate hypotheses. No doubt, data volume and diversity have dramatically increased
by the advent of newtechnologies and open data initiatives. Big data are used across the whole drug discovery
pipeline from target identification and mechanism of action to identification of novel leads and drug
candidates. Such methods are depicted and discussed, with the aim to provide a general view of computational
tools and databases available. We feel that big data leveraging needs to be cost-effective and focus on personalizedmedicine.
For this, we propose the interplay of information technologies and (chemo)informatic tools on the
basis of their synergy.