Natural Product: NPC473123

Natural Product IDNPC473123
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FICVTPIPOGXLJF-XHZRMMPPSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3613713
PubChem CID n.a.
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 FICVTPIPOGXLJF-XHZRMMPPSA-N
Standard InCHI InChI=1S/C37H62O9/c1-20-27(41)28(42)29(43)31(45-20)46-26-10-11-33(4)24(34(26,5)18-38)9-12-35(6)30(33)23(44-8)15-21-22-16-32(2,3)13-14-37(22,19-39)25(40)17-36(21,35)7/h15,20,22-31,38-43H,9-14,16-19H2,1-8H3/t20-,22+,23-,24-,25+,26+,27+,28+,29-,30-,31+,33+,34+,35-,36-,37-/m1/s1
SMILES CC1C(C(C(C(O1)OC2CCC3(C(C2(C)CO)CCC4(C3C(C=C5C4(CC(C6(C5CC(CC6)(C)C)CO)O)C)OC)C)C)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   650.44 Volume:   673.645
?
Van der Waals volume.
Dense:   0.966 LogP:   2.066
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.712
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.706
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   32.0
TPSA:   149.07
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   6.0 Rings:   6.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.194 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.748 Fsp3:   0.946
MCE-18:   129.333
?
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:   0.153 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.012
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.017
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.137 Promiscuous compounds:   0.004

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.154 MDCK Permeability:   -5.125
Pgp-inhibitor:   0.0 Pgp-substrate:   0.962
PAMPA:   0.998
?
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):   0.726
20% Bioavailability (F20%):   0.485 30% Bioavailability (F30%):   0.841
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.048 MRP1:   0.997
Plasma Protein Binding (PPB):   66.692% Volume Distribution (VD):   -0.303
Fu: 28.862%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.001
OATP1B3 inhibitor:   0.404 BCRP inhibitor:   0.004
BSEP inhibitor:   0.435

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.996 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.917 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.012 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   0.493 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.019 CYP2C8-inhibitor:   0.003
HLM stability:   0.854
?
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):  4.048 Half-life (T1/2):  2.787

ADMET: Toxicity

hERG Blockers:  0.065 hERG Blockers (10um):  0.423
Human Hepatotoxicity (H-HT):  0.473 Drug-induced Liver Injury (DILI):  0.036
AMES Toxicity:  0.318 Rat Oral Acute Toxicity:  0.202
Maximum Recommended Daily Dose:  0.47 Skin Sensitization:  0.06
Carcinogencity:  0.195 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.076
Drug-induced Neurotoxicity:  0.35 Ototoxicity:  0.993
Hematotoxicity:  0.05 Drug-induced Nephrotoxicity:  0.025
Genotoxicity:  0.014 RPMI-8226 Immunitoxicity:  0.071
A549 Cytotoxicity:  0.023 Hek293 Cytotoxicity:  0.471
BCF:   1.701
?
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:   4.249
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.04
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.986
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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
NPO29401 Bupleurum chinense Species Apiaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/j.indcrop.2008.08.002]
NPO29401 Bupleurum chinense Species Apiaceae Eukaryota roots n.a. n.a. PMID[26259802]
NPO29401 Bupleurum chinense Species Apiaceae Eukaryota n.a. n.a. n.a. Database[Article]
NPO29401 Bupleurum chinense Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29401 Bupleurum chinense Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO29401 Bupleurum chinense Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO29401 Bupleurum chinense Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO29401 Bupleurum chinense Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO29401 Bupleurum chinense Species Apiaceae 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
NPT65 Cell line HepG2 Homo sapiens IC50 = 30190.0 nM PMID[20008778]
NPT81 Cell line A549 Homo sapiens IC50 > 50000.0 nM DOI[10.6019/CHEMBL1201861]
NPT1872 Cell line Bcap37 Homo sapiens IC50 > 50000.0 nM PMID[17850125]
NPT83 Cell line MCF7 Homo sapiens IC50 > 50000.0 nM PMID[18183025]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 50000.0 nM PMID[26259802]

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 NPC473123 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
0.9041 High Similarity NPC473124
0.8171 Intermediate Similarity NPC473127
0.8171 Intermediate Similarity NPC110656
0.7558 Intermediate Similarity NPC281939
0.7442 Intermediate Similarity NPC203354
0.6333 Remote Similarity NPC162354
0.5882 Remote Similarity NPC473129
0.5882 Remote Similarity NPC99627
0.5556 Remote Similarity NPC76497
0.5275 Remote Similarity NPC38376
0.5275 Remote Similarity NPC80210
0.5051 Remote Similarity NPC475208

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC473123 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