Natural Product: NPC542778

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

  Calculated Properties

Physi-Chem Properties

MedChem Properties

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

ADMET: Distribution

ADMET: Metabolism

ADMET: Excretion

ADMET: Toxicity

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference

Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



  NP Quantity Composition/Concentration

Organism ID Organism Name Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



 Biological Activity

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC542778 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
1.0 High Similarity NPC610763
0.7568 Intermediate Similarity NPC83283
0.7333 Intermediate Similarity NPC110349
0.7333 Intermediate Similarity NPC39360
0.7333 Intermediate Similarity NPC29763
0.7333 Intermediate Similarity NPC210003
0.7317 Intermediate Similarity NPC473512
0.7308 Intermediate Similarity NPC284960
0.7273 Intermediate Similarity NPC182045
0.7237 Intermediate Similarity NPC93337
0.7143 Intermediate Similarity NPC105025
0.6905 Remote Similarity NPC129827
0.6795 Remote Similarity NPC146792
0.6625 Remote Similarity NPC100720
0.6582 Remote Similarity NPC168822
0.6582 Remote Similarity NPC95090
0.6582 Remote Similarity NPC27408
0.6582 Remote Similarity NPC189142
0.6582 Remote Similarity NPC77660
0.65 Remote Similarity NPC45638
0.6456 Remote Similarity NPC58053
0.642 Remote Similarity NPC222936
0.642 Remote Similarity NPC201292
0.6386 Remote Similarity NPC311830
0.6375 Remote Similarity NPC259152
0.6296 Remote Similarity NPC186807
0.6279 Remote Similarity NPC473657
0.619 Remote Similarity NPC479406
0.6125 Remote Similarity NPC331652
0.6098 Remote Similarity NPC58716
0.6071 Remote Similarity NPC22832
0.6071 Remote Similarity NPC243930
0.6071 Remote Similarity NPC601144
0.6049 Remote Similarity NPC261866
0.6049 Remote Similarity NPC143851
0.6024 Remote Similarity NPC27942
0.6 Remote Similarity NPC602805
0.6 Remote Similarity NPC607707
0.5976 Remote Similarity NPC297987
0.5976 Remote Similarity NPC323593
0.5976 Remote Similarity NPC203500
0.5909 Remote Similarity NPC295613
0.5904 Remote Similarity NPC24043
0.5904 Remote Similarity NPC84362
0.5854 Remote Similarity NPC45618
0.5833 Remote Similarity NPC599850
0.5824 Remote Similarity NPC475497
0.5765 Remote Similarity NPC479402
0.5765 Remote Similarity NPC609451
0.5747 Remote Similarity NPC479407
0.5714 Remote Similarity NPC488080
0.5714 Remote Similarity NPC169977
0.5698 Remote Similarity NPC601710
0.5698 Remote Similarity NPC605067
0.5652 Remote Similarity NPC475366
0.5632 Remote Similarity NPC88023
0.5632 Remote Similarity NPC116458
0.5632 Remote Similarity NPC246943
0.5632 Remote Similarity NPC309025
0.5618 Remote Similarity NPC472607
0.5595 Remote Similarity NPC277205
0.5595 Remote Similarity NPC37919
0.5595 Remote Similarity NPC136042
0.5595 Remote Similarity NPC609879
0.5542 Remote Similarity NPC183357
0.5529 Remote Similarity NPC84265
0.5506 Remote Similarity NPC172807
0.5495 Remote Similarity NPC15358
0.5484 Remote Similarity NPC284277
0.5476 Remote Similarity NPC77672
0.5476 Remote Similarity NPC133671
0.5476 Remote Similarity NPC19709
0.5476 Remote Similarity NPC135391
0.5476 Remote Similarity NPC78263
0.5476 Remote Similarity NPC250069
0.5465 Remote Similarity NPC117260
0.5435 Remote Similarity NPC65003
0.5435 Remote Similarity NPC607513
0.5412 Remote Similarity NPC105511
0.5412 Remote Similarity NPC161749
0.5402 Remote Similarity NPC168584
0.5402 Remote Similarity NPC191306
0.5402 Remote Similarity NPC488071
0.5393 Remote Similarity NPC601586
0.5349 Remote Similarity NPC181712
0.5326 Remote Similarity NPC44931
0.5287 Remote Similarity NPC42773
0.5287 Remote Similarity NPC45522
0.5281 Remote Similarity NPC605784
0.5275 Remote Similarity NPC8856
0.5233 Remote Similarity NPC145038
0.5233 Remote Similarity NPC8573
0.5233 Remote Similarity NPC56077
0.5233 Remote Similarity NPC197896
0.5233 Remote Similarity NPC281131
0.5233 Remote Similarity NPC313163
0.5233 Remote Similarity NPC253662
0.5233 Remote Similarity NPC179950
0.5233 Remote Similarity NPC88789
0.5233 Remote Similarity NPC491374
0.5227 Remote Similarity NPC169404
0.5227 Remote Similarity NPC307938
0.5227 Remote Similarity NPC176186
0.5217 Remote Similarity NPC603300
0.5211 Remote Similarity NPC101294
0.5211 Remote Similarity NPC278556
0.5208 Remote Similarity NPC150767
0.5205 Remote Similarity NPC47815
0.5172 Remote Similarity NPC22195
0.5172 Remote Similarity NPC245014
0.5172 Remote Similarity NPC46420
0.5172 Remote Similarity NPC10807
0.5172 Remote Similarity NPC21190
0.5172 Remote Similarity NPC161881
0.5169 Remote Similarity NPC486578
0.5169 Remote Similarity NPC606560
0.5158 Remote Similarity NPC64425
0.5158 Remote Similarity NPC64051
0.5116 Remote Similarity NPC289667
0.5114 Remote Similarity NPC198324
0.5114 Remote Similarity NPC472459
0.5114 Remote Similarity NPC205076
0.5111 Remote Similarity NPC206123
0.5106 Remote Similarity NPC3583
0.5102 Remote Similarity NPC475382
0.51 Remote Similarity NPC244875
0.5056 Remote Similarity NPC282169
0.5055 Remote Similarity NPC203050
0.5055 Remote Similarity NPC469931
0.5055 Remote Similarity NPC488072
0.5055 Remote Similarity NPC225434
0.5055 Remote Similarity NPC190003

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC542778 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
0.551 Remote Similarity NPD7472 Pre-clinical
0.5412 Remote Similarity NPD4381 Clinical (unspecified phase)

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.
Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data