Natural Product: NPC76840

Natural Product IDNPC76840
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
TXQLFMCRDJSJDN-YKBNHCIXSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101704407
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 TXQLFMCRDJSJDN-YKBNHCIXSA-N
Standard InCHI InChI=1S/C54H90O24/c1-22(2)24(58)10-16-54(8,78-48-44(70)40(66)37(63)29(75-48)21-71-46-42(68)38(64)34(60)26(18-55)72-46)23-9-14-53(7)33(23)25(59)17-31-51(5)13-12-32(50(3,4)30(51)11-15-52(31,53)6)76-49-45(41(67)36(62)28(20-57)74-49)77-47-43(69)39(65)35(61)27(19-56)73-47/h23,25-49,55-57,59-70H,1,9-21H2,2-8H3/t23-,25+,26+,27+,28+,29+,30-,31+,32-,33-,34+,35+,36+,37+,38-,39-,40-,41-,42+,43+,44+,45+,46+,47-,48-,49-,51-,52+,53+,54-/m0/s1
SMILES C=C(C)C(=O)CC[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]3CC[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]([C@@H](CO)O1)O)O)O)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O)O)O)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1122.58 Volume:   1079.781
?
Van der Waals volume.
Dense:   1.04 LogP:   0.441
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.403
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.513
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   17.0 Rigid Bonds:   46.0
TPSA:   394.36
?
Topological Polar Surface Area.
H-Bond Acceptor:   24.0
H-Bond Donor:   15.0 Rings:   8.0
Heavy Atoms:   24.0

MedChem Properties

QED Drug-Likeness Score:   0.051 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.948 Fsp3:   0.944
MCE-18:   181.219
?
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:   0.702 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
?
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:   0.298 Promiscuous compounds:   0.272

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.92 MDCK Permeability:   -4.906
Pgp-inhibitor:   0.0 Pgp-substrate:   0.068
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):   0.999
20% Bioavailability (F20%):   0.836 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.013
Plasma Protein Binding (PPB):   64.715% Volume Distribution (VD):   -0.369
Fu: 23.545%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.871
HLM stability:   0.001
?
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):  -0.367 Half-life (T1/2):  3.486

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.001
Human Hepatotoxicity (H-HT):  0.649 Drug-induced Liver Injury (DILI):  0.799
AMES Toxicity:  0.989 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.031 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.803 Drug-induced Nephrotoxicity:  0.993
Genotoxicity:  0.271 RPMI-8226 Immunitoxicity:  0.267
A549 Cytotoxicity:  0.945 Hek293 Cytotoxicity:  0.421
BCF:   0.981
?
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:   3.292
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.506
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.552
?
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]
NPO14105.2 Panax pseudo-ginseng var. notoginseng Varieties Araliaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14105.2 Panax pseudo-ginseng var. notoginseng Varieties Araliaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
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

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 NPC76840 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
0.8242 Intermediate Similarity NPC208650
0.8211 Intermediate Similarity NPC472718
0.8065 Intermediate Similarity NPC220427
0.7755 Intermediate Similarity NPC135369
0.7629 Intermediate Similarity NPC14946
0.7629 Intermediate Similarity NPC159005
0.7629 Intermediate Similarity NPC63368
0.7363 Intermediate Similarity NPC208477
0.7308 Intermediate Similarity NPC146868
0.7283 Intermediate Similarity NPC69737
0.7128 Intermediate Similarity NPC472719
0.7115 Intermediate Similarity NPC241381
0.7075 Intermediate Similarity NPC488294
0.6847 Remote Similarity NPC488291
0.6538 Remote Similarity NPC246124
0.6337 Remote Similarity NPC234160
0.6327 Remote Similarity NPC207845
0.6325 Remote Similarity NPC488293
0.6311 Remote Similarity NPC65167
0.6304 Remote Similarity NPC31907
0.6263 Remote Similarity NPC269627
0.6224 Remote Similarity NPC181467
0.6216 Remote Similarity NPC488292
0.6214 Remote Similarity NPC472988
0.6214 Remote Similarity NPC38217
0.6204 Remote Similarity NPC472716
0.6082 Remote Similarity NPC312553
0.6058 Remote Similarity NPC476360
0.6058 Remote Similarity NPC476361
0.602 Remote Similarity NPC472987
0.5876 Remote Similarity NPC159036
0.5816 Remote Similarity NPC472897
0.5816 Remote Similarity NPC472896
0.5816 Remote Similarity NPC274833
0.5773 Remote Similarity NPC8431
0.5758 Remote Similarity NPC8039
0.5758 Remote Similarity NPC120123
0.5577 Remote Similarity NPC472715
0.5536 Remote Similarity NPC6931
0.5536 Remote Similarity NPC180183
0.5429 Remote Similarity NPC194842
0.5429 Remote Similarity NPC152584
0.5429 Remote Similarity NPC304011
0.53 Remote Similarity NPC157659
0.5288 Remote Similarity NPC139271
0.5283 Remote Similarity NPC127801
0.5283 Remote Similarity NPC276758
0.5254 Remote Similarity NPC146652
0.5234 Remote Similarity NPC472717
0.5225 Remote Similarity NPC160816
0.5208 Remote Similarity NPC473198
0.5196 Remote Similarity NPC252253
0.5155 Remote Similarity NPC66654
0.5146 Remote Similarity NPC45959
0.513 Remote Similarity NPC470514
0.5102 Remote Similarity NPC234287
0.5096 Remote Similarity NPC16573
0.5094 Remote Similarity NPC213190
0.5091 Remote Similarity NPC208594
0.5044 Remote Similarity NPC305418

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC76840 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