Natural Product: NPC612073

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 NPC612073 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 NPC243083
1.0 High Similarity NPC13768
1.0 High Similarity NPC287246
0.8222 Intermediate Similarity NPC32441
0.8222 Intermediate Similarity NPC79943
0.7872 Intermediate Similarity NPC274784
0.7872 Intermediate Similarity NPC20709
0.7609 Intermediate Similarity NPC182421
0.75 Intermediate Similarity NPC107586
0.7347 Intermediate Similarity NPC321011
0.7347 Intermediate Similarity NPC294852
0.7347 Intermediate Similarity NPC188679
0.7143 Intermediate Similarity NPC338131
0.7083 Intermediate Similarity NPC295261
0.7083 Intermediate Similarity NPC296490
0.7083 Intermediate Similarity NPC12296
0.7059 Intermediate Similarity NPC302950
0.6939 Remote Similarity NPC150648
0.6939 Remote Similarity NPC312391
0.68 Remote Similarity NPC482119
0.68 Remote Similarity NPC482120
0.6792 Remote Similarity NPC236637
0.6735 Remote Similarity NPC204515
0.6727 Remote Similarity NPC477841
0.6667 Remote Similarity NPC265871
0.6667 Remote Similarity NPC205093
0.6531 Remote Similarity NPC476480
0.6531 Remote Similarity NPC213322
0.6531 Remote Similarity NPC84585
0.6471 Remote Similarity NPC255106
0.6471 Remote Similarity NPC235165
0.64 Remote Similarity NPC482121
0.64 Remote Similarity NPC270964
0.6364 Remote Similarity NPC258630
0.6316 Remote Similarity NPC109223
0.6316 Remote Similarity NPC10937
0.6275 Remote Similarity NPC37392
0.625 Remote Similarity NPC39045
0.6154 Remote Similarity NPC194432
0.6102 Remote Similarity NPC108456
0.6066 Remote Similarity NPC611447
0.6034 Remote Similarity NPC17170
0.5965 Remote Similarity NPC1089
0.5962 Remote Similarity NPC4152
0.5932 Remote Similarity NPC106976
0.5902 Remote Similarity NPC312973
0.5902 Remote Similarity NPC475790
0.5849 Remote Similarity NPC329203
0.5849 Remote Similarity NPC324386
0.5849 Remote Similarity NPC222342
0.5833 Remote Similarity NPC174953
0.5769 Remote Similarity NPC6407
0.5769 Remote Similarity NPC545184
0.5763 Remote Similarity NPC470135
0.5738 Remote Similarity NPC134783
0.5714 Remote Similarity NPC35150
0.5714 Remote Similarity NPC106328
0.5692 Remote Similarity NPC26195
0.566 Remote Similarity NPC177354
0.5645 Remote Similarity NPC470890
0.5645 Remote Similarity NPC200761
0.5577 Remote Similarity NPC225153
0.5577 Remote Similarity NPC188243
0.5577 Remote Similarity NPC479876
0.5577 Remote Similarity NPC110228
0.5556 Remote Similarity NPC99597
0.5556 Remote Similarity NPC300668
0.5556 Remote Similarity NPC73028
0.5556 Remote Similarity NPC473990
0.5556 Remote Similarity NPC69531
0.5536 Remote Similarity NPC609747
0.5517 Remote Similarity NPC76372
0.5517 Remote Similarity NPC37496
0.549 Remote Similarity NPC329225
0.549 Remote Similarity NPC147686
0.5472 Remote Similarity NPC248372
0.5472 Remote Similarity NPC482487
0.5472 Remote Similarity NPC603284
0.5469 Remote Similarity NPC118256
0.5455 Remote Similarity NPC469764
0.5455 Remote Similarity NPC606248
0.5424 Remote Similarity NPC109183
0.5417 Remote Similarity NPC314329
0.5417 Remote Similarity NPC603208
0.541 Remote Similarity NPC134171
0.5385 Remote Similarity NPC473272
0.5385 Remote Similarity NPC474021
0.5357 Remote Similarity NPC310135
0.5333 Remote Similarity NPC295650
0.5333 Remote Similarity NPC175504
0.5323 Remote Similarity NPC85121
0.5312 Remote Similarity NPC88964
0.5306 Remote Similarity NPC228184
0.5273 Remote Similarity NPC215885
0.5273 Remote Similarity NPC110776
0.5273 Remote Similarity NPC110038
0.5246 Remote Similarity NPC176229
0.5224 Remote Similarity NPC474038
0.5185 Remote Similarity NPC472460
0.5185 Remote Similarity NPC201227
0.5185 Remote Similarity NPC258474
0.5185 Remote Similarity NPC264083
0.5147 Remote Similarity NPC227579
0.5147 Remote Similarity NPC214166
0.5147 Remote Similarity NPC475784
0.5091 Remote Similarity NPC20354
0.5088 Remote Similarity NPC18727
0.5088 Remote Similarity NPC2416
0.5088 Remote Similarity NPC469758
0.5088 Remote Similarity NPC271590
0.5082 Remote Similarity NPC122894
0.5075 Remote Similarity NPC97052
0.5072 Remote Similarity NPC74924
0.5072 Remote Similarity NPC111786
0.507 Remote Similarity NPC602605

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC612073 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
1.0 High Similarity NPD1550 Phase 2
0.8222 Intermediate Similarity NPD1552 Clinical (unspecified phase)
0.7059 Intermediate Similarity NPD1934 Phase 0
0.549 Remote Similarity NPD1549 Phase 2
0.5417 Remote Similarity NPD1547 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