Natural Product: NPC183587

Natural Product IDNPC183587
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OOQRHGBPHULERW-DPGDLXMDSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44575258
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0001755] Diterpene glycosides

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

  Chemical Representations

Standard InCHIKey OOQRHGBPHULERW-DPGDLXMDSA-N
Standard InCHI InChI=1S/C31H48O12/c1-17-5-8-21-29(2,10-4-11-30(21,3)19(17)7-6-18-9-12-39-26(18)37)15-40-27-24(23(35)22(34)20(13-32)42-27)43-28-25(36)31(38,14-33)16-41-28/h9,19-25,27-28,32-36,38H,1,4-8,10-16H2,2-3H3/t19-,20-,21-,22-,23+,24-,25+,27-,28+,29+,30+,31-/m1/s1
SMILES C=C1CC[C@@H]2[C@@](C)(CCC[C@@]2(C)[C@@H]1CCC1=CCOC1=O)CO[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O[C@H]1[C@@H]([C@@](CO)(CO1)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   612.31 Volume:   599.523
?
Van der Waals volume.
Dense:   1.021 LogP:   1.664
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.311
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.478
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   29.0
TPSA:   184.6
?
Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   6.0 Rings:   5.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.147 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.559 Fsp3:   0.839
MCE-18:   96.0
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.567 Fluc inhibitor:   0.002
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.14 Promiscuous compounds:   0.24

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.976 MDCK Permeability:   -5.117
Pgp-inhibitor:   0.001 Pgp-substrate:   0.001
PAMPA:   0.691
?
The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.057
20% Bioavailability (F20%):   0.129 30% Bioavailability (F30%):   0.989
50% Bioavailability (F50%):   0.932

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.355 MRP1:   0.376
Plasma Protein Binding (PPB):   82.017% Volume Distribution (VD):   -0.517
Fu: 14.58%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.008
BSEP inhibitor:   0.15

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.631 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.018 CYP3A4-substrate:   0.589
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.065
HLM stability:   0.136
?
Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  1.32 Half-life (T1/2):  1.672

ADMET: Toxicity

hERG Blockers:  0.014 hERG Blockers (10um):  0.029
Human Hepatotoxicity (H-HT):  0.852 Drug-induced Liver Injury (DILI):  0.495
AMES Toxicity:  0.93 Rat Oral Acute Toxicity:  0.088
Maximum Recommended Daily Dose:  0.165 Skin Sensitization:  1.0
Carcinogencity:  0.879 Eye Corrosion:  0.0
Eye Irritation:  0.023 Respiratory Toxicity:  0.056
Drug-induced Neurotoxicity:  0.078 Ototoxicity:  0.969
Hematotoxicity:  0.681 Drug-induced Nephrotoxicity:  0.964
Genotoxicity:  0.836 RPMI-8226 Immunitoxicity:  0.246
A549 Cytotoxicity:  0.81 Hek293 Cytotoxicity:  0.71
BCF:   1.069
?
Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   3.848
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.684
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.704
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96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota n.a. n.a. n.a. DOI[10.1111/ppl.12252]
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota n.a. leaf n.a. PMID[15894448]
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota n.a. root n.a. PMID[15894448]
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota aerial parts purchased in Juhuacun herbal market, Kunming, Yunnan Province, China 2002-Oct PMID[16562826]
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota n.a. n.a. n.a. PMID[18357994]
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota n.a. leaf n.a. PMID[21598983]
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota n.a. leaf n.a. PMID[22026410]
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota n.a. n.a. n.a. PMID[8377022]
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO3578 Andrographis paniculata Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]

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 NPC183587 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
0.6962 Remote Similarity NPC392
0.6962 Remote Similarity NPC177524
0.6962 Remote Similarity NPC219900
0.5714 Remote Similarity NPC479457
0.5698 Remote Similarity NPC479461
0.5465 Remote Similarity NPC599990
0.5263 Remote Similarity NPC106416
0.5263 Remote Similarity NPC86316
0.5263 Remote Similarity NPC609165
0.5169 Remote Similarity NPC479455
0.5169 Remote Similarity NPC479454
0.5111 Remote Similarity NPC479460

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC183587 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
0.6962 Remote Similarity NPD6686 Approved

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