Natural Product: NPC296770

Natural Product IDNPC296770
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
VNOKAWVKCFUZGK-HOJYRBEBSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5320337
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 VNOKAWVKCFUZGK-HOJYRBEBSA-N
Standard InCHI InChI=1S/C30H48O3/c1-26(2)21-10-13-28(5)17-18-16-20(31)25-27(3,4)24(33)11-14-29(25,6)19(18)8-9-22(28)30(21,7)15-12-23(26)32/h16,19,21-25,32-33H,8-15,17H2,1-7H3/t19-,21?,22?,23-,24?,25-,28-,29?,30-/m0/s1
SMILES CC1(C)C2CC[C@@]3(C)CC4=CC(=O)[C@H]5C(C)(C)C(CCC5(C)[C@H]4CCC3[C@@]2(C)CC[C@@H]1O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   456.36 Volume:   505.751
?
Van der Waals volume.
Dense:   0.902 LogP:   3.92
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.864
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.001
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   28.0
TPSA:   57.53
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.448 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.896 Fsp3:   0.9
MCE-18:   102.667
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.406 Fluc inhibitor:   0.019
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.015
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.002
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.276 Promiscuous compounds:   0.19

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.016 MDCK Permeability:   -4.79
Pgp-inhibitor:   0.062 Pgp-substrate:   0.49
PAMPA:   0.975
?
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):   0.0
20% Bioavailability (F20%):   0.244 30% Bioavailability (F30%):   0.035
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.173 MRP1:   0.874
Plasma Protein Binding (PPB):   85.399% Volume Distribution (VD):   -0.165
Fu: 11.887%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.176
BSEP inhibitor:   0.812

ADMET: Metabolism

CYP1A2-inhibitor:   0.095 CYP1A2-substrate:   0.717
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.146
CYP2C9-inhibitor:   0.004 CYP2C9-substrate:   0.008
CYP2D6-inhibitor:   0.095 CYP2D6-substrate:   0.093
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.082 CYP2C8-inhibitor:   0.209
HLM stability:   0.993
?
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):  13.123 Half-life (T1/2):  0.667

ADMET: Toxicity

hERG Blockers:  0.131 hERG Blockers (10um):  0.363
Human Hepatotoxicity (H-HT):  0.64 Drug-induced Liver Injury (DILI):  0.05
AMES Toxicity:  0.317 Rat Oral Acute Toxicity:  0.371
Maximum Recommended Daily Dose:  0.885 Skin Sensitization:  0.728
Carcinogencity:  0.653 Eye Corrosion:  0.0
Eye Irritation:  0.26 Respiratory Toxicity:  0.598
Drug-induced Neurotoxicity:  0.065 Ototoxicity:  0.732
Hematotoxicity:  0.224 Drug-induced Nephrotoxicity:  0.499
Genotoxicity:  0.103 RPMI-8226 Immunitoxicity:  0.091
A549 Cytotoxicity:  0.528 Hek293 Cytotoxicity:  0.555
BCF:   2.065
?
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:   4.921
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.503
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.804
?
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
NPO20712 Panax quinquefolius Species Araliaceae Eukaryota n.a. n.a. n.a. PMID[ 12877918]
NPO20712 Panax quinquefolius Species Araliaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/j.jarmap.2018.11.004]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/j.jarmap.2018.11.004]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. leaf n.a. PMID[18409045]
NPO24671 Lycopodium japonicum Species Lycopodiaceae Eukaryota n.a. n.a. n.a. PMID[19245240]
NPO29141 Panax ginseng Species Araliaceae Eukaryota flower buds n.a. n.a. PMID[19926279]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. root n.a. PMID[2092947]
NPO29141 Panax ginseng Species Araliaceae Eukaryota berry n.a. n.a. PMID[21216145]
NPO29141 Panax ginseng Species Araliaceae Eukaryota leaves n.a. n.a. PMID[24290061]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. n.a. n.a. PMID[24968750]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. n.a. n.a. PMID[25152999]
NPO20712 Panax quinquefolius Species Araliaceae Eukaryota leaves and stems n.a. n.a. PMID[25442304]
NPO29141 Panax ginseng Species Araliaceae Eukaryota stems-leaves n.a. n.a. PMID[26420067]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. stem n.a. PMID[27914541]
NPO29141 Panax ginseng Species Araliaceae Eukaryota Flower Buds n.a. n.a. PMID[28345906]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. n.a. n.a. PMID[32129622]
NPO24671 Lycopodium japonicum Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20712 Panax quinquefolius Species Araliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24671 Lycopodium japonicum Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[MetaboLights]
NPO20712 Panax quinquefolius Species Araliaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24671 Lycopodium japonicum Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24671 Lycopodium japonicum Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO20712 Panax quinquefolius Species Araliaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO20712 Panax quinquefolius Species Araliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24671 Lycopodium japonicum Species Lycopodiaceae 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 NPC296770 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
0.8302 Intermediate Similarity NPC472802
0.6949 Remote Similarity NPC89225
0.6885 Remote Similarity NPC167193
0.6604 Remote Similarity NPC472805
0.6604 Remote Similarity NPC90979
0.625 Remote Similarity NPC601949
0.5932 Remote Similarity NPC609913
0.5846 Remote Similarity NPC472806
0.5556 Remote Similarity NPC599915
0.5323 Remote Similarity NPC611107
0.5156 Remote Similarity NPC602872
0.5082 Remote Similarity NPC600728
0.5075 Remote Similarity NPC295643

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC296770 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
NPD

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