Discover how this innovative web-based cheminformatics tool is transforming natural products research and drug discovery
Explore the RevolutionFor centuries, nature's chemical factories have been working tirelessly, hidden in plain sight. Within the leaves of a humble plant, the bark of a tropical tree, or the soil beneath our feet, countless molecular marvels await discoveryâcompounds that can fight infections, treat cancers, or soothe inflammation.
This isn't science fiction; it's the very real work of natural products researchers who have given us penicillin, aspirin, and taxol from nature's bounty.
Yet for every success story, there lies a challenging path of painstaking laboratory work, false leads, and frustrating dead ends. Historically, researchers would spend years isolating compounds from natural sources, only to discover they had found something already known to science. But now, a powerful new tool is revolutionizing this quest, making it faster, smarter, and more efficient than ever before. Welcome to SistematXâthe online web-based cheminformatics tool that is transforming how we manage and discover nature's chemical secrets 1 6 .
Of anticancer drugs are natural products or inspired by them
Known natural compounds documented in scientific literature
Reduction in dereplication time with SistematX
The traditional work of a natural products researcher can be summarized as a lengthy process: collecting biological samples, preparing extracts for biological screening, and isolating and purifying compounds. However, the first and most crucial question that arises is: are these compounds known or new? 6 This process of rapid identification of known compounds to avoid rediscovery is called "dereplication," and it has become strategically important for efficient research 6 .
With tens of thousands of known natural compounds scattered across hundreds of databases and journals, how can scientists quickly determine if what they've found is novel?
Researchers collect biological samples from plants, marine organisms, or microorganisms.
Crude extracts are prepared and tested for biological activity.
Active compounds are separated using chromatographic techniques.
NMR, MS, and other techniques provide structural information.
SistematX helps identify if the compound is known or novel.
SistematX (http://sistematx.ufpb.br) is a modern, innovative web interface specifically designed for the management of secondary metabolite data 1 . Think of it as a specialized search engine for natural compounds that understands the unique needs of researchers in this field. Unlike general chemical databases that aren't specialized in secondary metabolite information valuable to natural products researchers, SistematX was built from the ground up with these specific requirements in mind 6 .
Using the MarvinJS API, researchers can draw the full structure, molecular skeleton, or specific fragments of a compound.
Most VersatileFor those familiar with this chemical notation system, SistematX allows users to simply copy and paste the SMILES code for rapid searching.
TechnicalWhether you have the common name or the formal IUPAC name (or even just part of it), SistematX can find the corresponding compound.
User-FriendlyBy entering a genus and selecting from available species, researchers can find all compounds isolated from that particular organism.
TaxonomicTo truly appreciate how SistematX works in practice, let's walk through a real-world scenario that a researcher might face.
Imagine you're studying a plant species traditionally used for its anti-inflammatory properties. Your laboratory tests confirm that the crude extract does indeed reduce inflammation, but which of the dozens of compounds within is responsible? And has this compound been discovered before?
Prepare extracts using various solvents
Confirm anti-inflammatory activity
Use chromatography techniques
NMR and MS provide structural clues
Check species sources and activities
Identification of quercetin-3-O-glucoside from plant extract
Structure of quercetin, a common flavonoid
In our hypothetical experiment, let's say SistematX identified the anti-inflammatory compound as quercetin-3-O-glucoside, a known flavonoid. The database might reveal that this compound has been previously isolated from 47 other plant species across 15 different families, with documented antioxidant and anti-inflammatory properties. While this means the compound isn't novel, the researcher has saved months of work trying to characterize it as new. More importantly, SistematX might reveal that this particular glycosidic form of quercetin has never been reported from this plant species before, which still represents a valuable contribution to scientific knowledge 6 .
| Data Category | Specific Information Provided | Scientific Utility |
|---|---|---|
| Compound Identification | Common name, IUPAC name, SMILES code, InChI key, CAS number | Precise compound identification and database linking |
| Chemical Properties | Molecular mass, oxidation number (NOX), solubility, LogP | Understanding physical properties relevant to drug development |
| Botanical Source | Plant family, genus, species, geographical location | Chemotaxonomic studies and sustainable sourcing |
| Biological Activity | Type of activity, test system, potency values | Drug discovery leads and traditional medicine validation |
| Bibliographic Reference | Journal, volume, page, year | Access to original research and experimental details |
What happens after SistematX identifies a compound? The system presents researchers with a wealth of information categorized into logical groups 6 .
2D and 3D visualizations of the molecule with export capabilities for further computational studies.
Comprehensive identifiers that facilitate cross-database searching and verification.
Specialized classification and properties relevant to natural products research.
Crucial data for purification processes and structural elucidation.
Taxonomic and geographical context for chemotaxonomic studies.
Compiled results from various pharmacological studies.
The oxidation number, calculated based on established rules, has been fundamental in chemotaxonomy since Gottlieb related the oxidation grade of molecules to species evolution 6 .
This innovative approach allows researchers to trace evolutionary relationships between plant species based on the chemical complexity of their secondary metabolites, providing insights that complement traditional morphological and genetic classification methods.
While SistematX represents the digital frontier of natural products research, the laboratory work still requires specific materials and reagents.
| Material/Reagent | Primary Function | Research Application |
|---|---|---|
| Chromatography resins (silica, C18) | Compound separation | Isolating individual compounds from complex mixtures |
| Deuterated solvents | NMR spectroscopy | Solvent for structure elucidation without interfering signals |
| Bioassay kits | Activity testing | Testing compounds for various biological activities |
| Solid-phase extraction cartridges | Sample cleanup | Removing interfering compounds before analysis |
| Derivatization reagents | Compound modification | Making compounds detectable for certain instruments |
| Cell cultures | Biological testing | Testing compound effects on living systems |
| PCR reagents | Genetic analysis | Identifying species through DNA barcoding |
The field of natural products research is currently undergoing a significant paradigm shift. With the development of affordable 'omics technologies and the rise of metabolomics, researchers are generating unprecedented amounts of data 2 . In this context, tools like SistematX are becoming increasingly vital for managing, interpreting, and extracting value from this data deluge.
With antimicrobial resistance projected to cause millions of deaths annually by 2050, the need for new antimicrobial drugs has never been more urgent 2 .
Historically, natural products have been the major source of lead compounds for antimicrobial drugs 2 .
By dramatically speeding up the dereplication process, SistematX and tools like it help address the very challenges that led industry to move away from natural products research. When researchers can quickly identify known compounds, they can focus their efforts on truly novel structures, increasing the efficiency and productivity of the drug discovery pipeline.
Machine learning algorithms predicting novel compound structures and activities
Integration of genomics, transcriptomics, and metabolomics data
Shared databases and international research networks
SistematX represents more than just another databaseâit's a fundamentally new approach to understanding and navigating nature's chemical diversity.
By integrating chemical, biological, taxonomic, and geographical information into a single, user-friendly platform, it empowers researchers to ask and answer questions that were previously impractical or impossible.
As our understanding of natural products continues to evolve, tools like SistematX will play an increasingly central role in bridging the gap between traditional knowledge and modern science, between laboratory discoveries and real-world applications. They serve as digital compasses guiding us through the incredible chemical complexity of the natural world, helping us identify not just what nature has created, but how we might harness these creations for the benefit of human health and wellbeing.
The next time you walk through a forest or garden, remember that you're surrounded by countless chemical masterpieces, each with potential stories to tell. Thanks to innovative tools like SistematX, we're finally learning how to listen.