Natural Product: NPC610920

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 NPC610920 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 NPC184245
1.0 High Similarity NPC187801
0.6716 Remote Similarity NPC58190
0.6716 Remote Similarity NPC108811
0.6716 Remote Similarity NPC170103
0.6716 Remote Similarity NPC236202
0.6716 Remote Similarity NPC262911
0.6716 Remote Similarity NPC202742
0.6618 Remote Similarity NPC246202
0.6618 Remote Similarity NPC224161
0.6618 Remote Similarity NPC46335
0.6618 Remote Similarity NPC279406
0.6618 Remote Similarity NPC486519
0.6438 Remote Similarity NPC302549
0.6286 Remote Similarity NPC165483
0.6197 Remote Similarity NPC313116
0.6197 Remote Similarity NPC603340
0.6027 Remote Similarity NPC70409
0.6027 Remote Similarity NPC204770
0.6027 Remote Similarity NPC600551
0.6027 Remote Similarity NPC601980
0.6027 Remote Similarity NPC602065
0.6027 Remote Similarity NPC611024
0.6 Remote Similarity NPC278548
0.5867 Remote Similarity NPC600630
0.5867 Remote Similarity NPC607896
0.5867 Remote Similarity NPC611369
0.5679 Remote Similarity NPC9309
0.5641 Remote Similarity NPC20050
0.557 Remote Similarity NPC306267
0.5526 Remote Similarity NPC226809
0.55 Remote Similarity NPC135021
0.5493 Remote Similarity NPC96576
0.5488 Remote Similarity NPC147743
0.5488 Remote Similarity NPC4809
0.5488 Remote Similarity NPC73517
0.5469 Remote Similarity NPC261619
0.5469 Remote Similarity NPC61477
0.5469 Remote Similarity NPC78770
0.5469 Remote Similarity NPC219876
0.5469 Remote Similarity NPC126029
0.5469 Remote Similarity NPC15658
0.5395 Remote Similarity NPC610767
0.5385 Remote Similarity NPC601612
0.5357 Remote Similarity NPC86630
0.5342 Remote Similarity NPC601999
0.5325 Remote Similarity NPC601997
0.5325 Remote Similarity NPC609211
0.5325 Remote Similarity NPC610665
0.5294 Remote Similarity NPC106601
0.5294 Remote Similarity NPC151474
0.527 Remote Similarity NPC294558
0.527 Remote Similarity NPC18185
0.527 Remote Similarity NPC263940
0.5256 Remote Similarity NPC272552
0.5256 Remote Similarity NPC226108
0.5256 Remote Similarity NPC322899
0.5233 Remote Similarity NPC212614
0.5233 Remote Similarity NPC205613
0.5227 Remote Similarity NPC159526
0.519 Remote Similarity NPC46283
0.519 Remote Similarity NPC469944
0.5185 Remote Similarity NPC478616
0.5185 Remote Similarity NPC478339
0.5135 Remote Similarity NPC277331
0.5135 Remote Similarity NPC100482
0.5128 Remote Similarity NPC211561
0.5125 Remote Similarity NPC44192
0.5072 Remote Similarity NPC178054
0.5067 Remote Similarity NPC20757
0.5067 Remote Similarity NPC227516
0.5057 Remote Similarity NPC479793

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC610920 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
0.5469 Remote Similarity NPD1612 Clinical (unspecified phase)
0.5469 Remote Similarity NPD1613 Phase 4

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