In silico Driven Pharmacognosy: Forth, Back and Reverse

Dear Colleagues and Friends of Medicinal Plants and Natural Product Research

The guest editors of this special issue In silico driven pharmacognosy: forth, back and reverse, proudly announce a comprehensive collection of reviews and case studies dedicated to the continuously prospering field of computational tools in natural product research.

Reflecting the need to not only store or digest, but learn from millions of data, which mankind has generated and collected since centuries, in silico techniques are nowadays well recognized as extraordinary helpful tools to leverage the drug discovery process. The sensible implementation of computational tools in pharmacognostic workflows is however not only a straight forward strategy to identify small chemical entities from nature to be used as lead structures, but also a major step towards unravelling the polypharmacological complexity of botanicals by increasing our knowledge about the molecular mechanisms of bioactive constituents.