Natural Product: NPC305000

Natural Product IDNPC305000
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FNIRVWPHRMMRQI-RFMRREALSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 16757287
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0001580] Triterpene glycosides
            • [CHEMONTID:0002358] Triterpene saponins

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 FNIRVWPHRMMRQI-RFMRREALSA-N
Standard InCHI InChI=1S/C41H70O13/c1-20(2)10-9-13-41(8,50)21-11-15-39(6)28(21)22(43)16-26-38(5)14-12-27(45)37(3,4)34(38)24(17-40(26,39)7)52-36-33(31(48)30(47)25(18-42)53-36)54-35-32(49)29(46)23(44)19-51-35/h10,21-36,42-50H,9,11-19H2,1-8H3/t21-,22+,23+,24-,25+,26+,27-,28-,29-,30+,31-,32+,33+,34-,35-,36+,38+,39+,40+,41+/m0/s1
SMILES CC(=CCC[C@](C)([C@H]1CC[C@]2(C)[C@@H]1[C@@H](C[C@@H]1[C@@]3(C)CC[C@@H](C(C)(C)[C@@H]3[C@H](C[C@@]21C)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O[C@H]1[C@@H]([C@H]([C@@H](CO1)O)O)O)O)O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   770.48 Volume:   777.99
?
Van der Waals volume.
Dense:   0.99 LogP:   2.356
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.906
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.108
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   33.0
TPSA:   218.99
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   9.0 Rings:   6.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.121 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.978 Fsp3:   0.951
MCE-18:   133.75
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.677 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.23 Promiscuous compounds:   0.371

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.108 MDCK Permeability:   -5.157
Pgp-inhibitor:   0.0 Pgp-substrate:   0.802
PAMPA:   1.0
?
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):   0.114
20% Bioavailability (F20%):   0.838 30% Bioavailability (F30%):   0.935
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.101 MRP1:   0.535
Plasma Protein Binding (PPB):   72.979% Volume Distribution (VD):   -0.435
Fu: 19.016%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.005
BSEP inhibitor:   0.004

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.044 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.004 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.013
HLM stability:   0.008
?
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):  0.917 Half-life (T1/2):  2.513

ADMET: Toxicity

hERG Blockers:  0.012 hERG Blockers (10um):  0.034
Human Hepatotoxicity (H-HT):  0.522 Drug-induced Liver Injury (DILI):  0.161
AMES Toxicity:  0.716 Rat Oral Acute Toxicity:  0.014
Maximum Recommended Daily Dose:  0.025 Skin Sensitization:  1.0
Carcinogencity:  0.105 Eye Corrosion:  0.0
Eye Irritation:  0.01 Respiratory Toxicity:  0.081
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.994
Hematotoxicity:  0.74 Drug-induced Nephrotoxicity:  0.977
Genotoxicity:  0.025 RPMI-8226 Immunitoxicity:  0.18
A549 Cytotoxicity:  0.866 Hek293 Cytotoxicity:  0.321
BCF:   0.922
?
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:   3.257
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.691
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.793
?
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
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]
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]
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]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
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]
NPO29141 Panax ginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
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]
NPO29141 Panax ginseng Species Araliaceae 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 NPC305000 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 NPC286969
0.869 High Similarity NPC472252
0.869 High Similarity NPC245280
0.8391 Intermediate Similarity NPC16520
0.8391 Intermediate Similarity NPC211879
0.8391 Intermediate Similarity NPC189852
0.8391 Intermediate Similarity NPC155010
0.8068 Intermediate Similarity NPC231340
0.7619 Intermediate Similarity NPC47566
0.7619 Intermediate Similarity NPC129372
0.7474 Intermediate Similarity NPC160816
0.7204 Intermediate Similarity NPC210759
0.71 Intermediate Similarity NPC6931
0.7097 Intermediate Similarity NPC194842
0.7033 Intermediate Similarity NPC473020
0.6667 Remote Similarity NPC473199
0.6562 Remote Similarity NPC127801
0.6535 Remote Similarity NPC305418
0.6495 Remote Similarity NPC601606
0.6364 Remote Similarity NPC140446
0.63 Remote Similarity NPC208594
0.6289 Remote Similarity NPC288694
0.6211 Remote Similarity NPC165033
0.6211 Remote Similarity NPC273879
0.6146 Remote Similarity NPC229801
0.6105 Remote Similarity NPC8039
0.6105 Remote Similarity NPC120123
0.6019 Remote Similarity NPC203434
0.596 Remote Similarity NPC307167
0.5769 Remote Similarity NPC472988
0.5769 Remote Similarity NPC38217
0.5745 Remote Similarity NPC609286
0.5743 Remote Similarity NPC152584
0.5684 Remote Similarity NPC309425
0.5625 Remote Similarity NPC114874
0.5532 Remote Similarity NPC136816
0.5532 Remote Similarity NPC7341
0.5312 Remote Similarity NPC472989
0.5312 Remote Similarity NPC82955
0.5263 Remote Similarity NPC88000
0.5263 Remote Similarity NPC4831
0.5263 Remote Similarity NPC472023
0.5258 Remote Similarity NPC472899
0.5258 Remote Similarity NPC472898
0.5152 Remote Similarity NPC472901
0.5138 Remote Similarity NPC237071
0.5138 Remote Similarity NPC238796
0.5059 Remote Similarity NPC80530
0.5059 Remote Similarity NPC273410
0.5052 Remote Similarity NPC131466

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC305000 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