Natural Product: NPC472988

Natural Product IDNPC472988
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
TUMCLUKPDAUYFA-GUHGQFERSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3594356
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 TUMCLUKPDAUYFA-GUHGQFERSA-N
Standard InCHI InChI=1S/C44H74O14/c1-22(2)11-10-15-44(9,53)24-12-17-43(8)31(24)25(47)19-29-41(6)16-14-30(40(4,5)28(41)13-18-42(29,43)7)57-39-37(35(51)32(48)26(20-45)55-39)58-38-36(52)34(50)33(49)27(56-38)21-54-23(3)46/h11,24-39,45,47-53H,10,12-21H2,1-9H3/t24-,25+,26+,27+,28-,29+,30-,31-,32+,33+,34-,35-,36+,37+,38-,39-,41-,42+,43+,44+/m0/s1
SMILES OC[C@H]1O[C@@H](O[C@H]2CC[C@]3([C@H](C2(C)C)CC[C@@]2([C@@H]3C[C@@H](O)[C@H]3[C@@]2(C)CC[C@@H]3[C@@](CCC=C(C)C)(O)C)C)C)[C@@H]([C@H]([C@@H]1O)O)O[C@@H]1O[C@H](COC(=O)C)[C@H]([C@@H]([C@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   826.51 Volume:   836.031
?
Van der Waals volume.
Dense:   0.989 LogP:   2.501
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.147
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.616
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   34.0
TPSA:   225.06
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   8.0 Rings:   6.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.085 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.921 Fsp3:   0.932
MCE-18:   134.4
?
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:   0.901 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.001
?
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:   0.21 Promiscuous compounds:   0.347

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.768 MDCK Permeability:   -5.171
Pgp-inhibitor:   0.0 Pgp-substrate:   0.079
PAMPA:   0.986
?
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):   0.633
20% Bioavailability (F20%):   0.153 30% Bioavailability (F30%):   0.995
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.117 MRP1:   0.032
Plasma Protein Binding (PPB):   60.303% Volume Distribution (VD):   -0.55
Fu: 32.029%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.029
BSEP inhibitor:   0.01

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.573 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.888
HLM stability:   0.042
?
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):  0.704 Half-life (T1/2):  2.475

ADMET: Toxicity

hERG Blockers:  0.01 hERG Blockers (10um):  0.056
Human Hepatotoxicity (H-HT):  0.56 Drug-induced Liver Injury (DILI):  0.698
AMES Toxicity:  0.66 Rat Oral Acute Toxicity:  0.004
Maximum Recommended Daily Dose:  0.005 Skin Sensitization:  1.0
Carcinogencity:  0.128 Eye Corrosion:  0.0
Eye Irritation:  0.005 Respiratory Toxicity:  0.003
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.988
Hematotoxicity:  0.239 Drug-induced Nephrotoxicity:  0.952
Genotoxicity:  0.071 RPMI-8226 Immunitoxicity:  0.103
A549 Cytotoxicity:  0.335 Hek293 Cytotoxicity:  0.107
BCF:   1.302
?
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:   4.036
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.911
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.964
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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
NPO21891 Panax notoginseng Species Araliaceae Eukaryota Flower buds n.a. n.a. PMID[12880307]
NPO21891 Panax notoginseng Species Araliaceae Eukaryota Stems n.a. n.a. PMID[17663584]
NPO21891 Panax notoginseng Species Araliaceae Eukaryota Roots n.a. n.a. PMID[18186611]
NPO21891 Panax notoginseng Species Araliaceae Eukaryota Steamed Roots n.a. n.a. PMID[26200131]
NPO21891 Panax notoginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21891 Panax notoginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO21891 Panax notoginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO21891 Panax notoginseng 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
NPT681 Cell line PC-12 Rattus norvegicus Activity = 13.4 % PMID[26200131]
NPT116 Cell line HL-60 Homo sapiens IC50 > 10000.0 nM PMID[10924160]
NPT81 Cell line A549 Homo sapiens IC50 > 10000.0 nM PMID[26186257]
NPT83 Cell line MCF7 Homo sapiens IC50 > 10000.0 nM PMID[20439614]
NPT660 Cell line SW480 Homo sapiens IC50 > 10000.0 nM PMID[18303848]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 10000.0 nM PMID[26200131]

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 NPC472988 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 NPC38217
0.8452 Intermediate Similarity NPC8039
0.8452 Intermediate Similarity NPC120123
0.7889 Intermediate Similarity NPC194842
0.7634 Intermediate Similarity NPC234160
0.7333 Intermediate Similarity NPC165033
0.7333 Intermediate Similarity NPC273879
0.7294 Intermediate Similarity NPC88000
0.7294 Intermediate Similarity NPC4831
0.7294 Intermediate Similarity NPC472023
0.701 Intermediate Similarity NPC208650
0.6961 Remote Similarity NPC135369
0.6869 Remote Similarity NPC220427
0.6698 Remote Similarity NPC241381
0.6667 Remote Similarity NPC14946
0.6667 Remote Similarity NPC63368
0.6574 Remote Similarity NPC146868
0.6535 Remote Similarity NPC65167
0.6526 Remote Similarity NPC208477
0.6514 Remote Similarity NPC488294
0.6505 Remote Similarity NPC159005
0.6489 Remote Similarity NPC312553
0.6383 Remote Similarity NPC472897
0.6383 Remote Similarity NPC472896
0.6277 Remote Similarity NPC159036
0.6186 Remote Similarity NPC473199
0.6122 Remote Similarity NPC69737
0.6061 Remote Similarity NPC472252
0.6061 Remote Similarity NPC245280
0.6034 Remote Similarity NPC488291
0.5938 Remote Similarity NPC611039
0.5882 Remote Similarity NPC16520
0.5882 Remote Similarity NPC211879
0.5882 Remote Similarity NPC189852
0.5882 Remote Similarity NPC155010
0.5833 Remote Similarity NPC246124
0.5833 Remote Similarity NPC488293
0.5769 Remote Similarity NPC286969
0.5758 Remote Similarity NPC472987
0.5702 Remote Similarity NPC488292
0.5686 Remote Similarity NPC269627
0.5644 Remote Similarity NPC181467
0.5631 Remote Similarity NPC231340
0.56 Remote Similarity NPC16573
0.5521 Remote Similarity NPC31907
0.5474 Remote Similarity NPC234287
0.5306 Remote Similarity NPC47566
0.5306 Remote Similarity NPC129372
0.5304 Remote Similarity NPC610948
0.5263 Remote Similarity NPC280825
0.5221 Remote Similarity NPC472718
0.5221 Remote Similarity NPC607354
0.5189 Remote Similarity NPC276758
0.5167 Remote Similarity NPC606950
0.5143 Remote Similarity NPC488574
0.5104 Remote Similarity NPC473198
0.5098 Remote Similarity NPC252253
0.5043 Remote Similarity NPC180183
0.5042 Remote Similarity NPC146652

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC472988 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