Natural Product: NPC243680

Natural Product IDNPC243680
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(3S,4Ar,5R,6Ar,6As,6Br,8Ar,10S,12Ar,14Bs)-10-[(2R,3R,4R,5S,6R)-3-Acetamido-6-[[(2R,3R,4S,5R,6R)-4,5-Dihydroxy-6-Methyl-3-[(2S,3R,4S,5R)-3,4,5-Trihydroxyoxan-2-Yl]Oxyoxan-2-Yl]Oxymethyl]-4,5-Dihydroxyoxan-2-Yl]Oxy-3,5-Dihydroxy-2,2,6A,6B,9,9,12A-Heptamethyl-1,3,4,5,6,6A,7,8,8A,10,11,12,13,14B-Tetradecahydropicene-4A-Carboxylic Acid
IUPAC Name (3S,4aR,5R,6aR,6aS,6bR,8aR,10S,12aR,14bS)-10-[(2R,3R,4R,5S,6R)-3-acetamido-6-[[(2R,3R,4S,5R,6R)-4,5-dihydroxy-6-methyl-3-[(2S,3R,4S,5R)-3,4,5-trihydroxyoxan-2-yl]oxyoxan-2-yl]oxymethyl]-4,5-dihydroxyoxan-2-yl]oxy-3,5-dihydroxy-2,2,6a,6b,9,9,12a-heptamethyl-1,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-4a-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL453973
PubChem CID 11051331
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 CZNVTQBHIFLJPM-FSNQEJLMSA-N
Standard InCHI InChI=1S/C49H79NO18/c1-21-33(55)37(59)39(68-41-38(60)34(56)25(52)19-63-41)42(65-21)64-20-26-35(57)36(58)32(50-22(2)51)40(66-26)67-31-13-14-46(7)27(45(31,5)6)12-15-47(8)28(46)11-10-23-24-16-44(3,4)29(53)18-49(24,43(61)62)30(54)17-48(23,47)9/h10,21,24-42,52-60H,11-20H2,1-9H3,(H,50,51)(H,61,62)/t21-,24+,25-,26-,27+,28-,29+,30-,31+,32-,33+,34+,35-,36-,37+,38-,39-,40+,41+,42-,46+,47-,48-,49-/m1/s1
SMILES C[C@@H]1[C@@H]([C@@H]([C@H]([C@H](OC[C@@H]2[C@H]([C@@H]([C@H]([C@@H](O2)O[C@H]2CC[C@@]3(C)[C@@H](CC[C@]4(C)[C@@H]3CC=C3[C@@H]5CC(C)(C)[C@H](C[C@@]5([C@@H](C[C@@]43C)O)C(=O)O)O)C2(C)C)N=C(C)O)O)O)O1)O[C@H]1[C@@H]([C@H]([C@@H](CO1)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   969.53 Volume:   948.92
?
Van der Waals volume.
Dense:   1.022 LogP:   0.968
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.773
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.589
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   46.0
TPSA:   307.34
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Topological Polar Surface Area.
H-Bond Acceptor:   19.0
H-Bond Donor:   11.0 Rings:   8.0
Heavy Atoms:   19.0

MedChem Properties

QED Drug-Likeness Score:   0.067 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.674 Fsp3:   0.918
MCE-18:   178.404
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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:   0.762 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.039 Promiscuous compounds:   0.072

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.045 MDCK Permeability:   -5.195
Pgp-inhibitor:   0.0 Pgp-substrate:   0.487
PAMPA:   1.0
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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):   0.346
20% Bioavailability (F20%):   0.642 30% Bioavailability (F30%):   0.977
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.007 MRP1:   0.101
Plasma Protein Binding (PPB):   66.109% Volume Distribution (VD):   -0.449
Fu: 23.144%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.006
BSEP inhibitor:   0.002

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:   0.967 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.399
HLM stability:   0.011
?
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):  0.16 Half-life (T1/2):  3.382

ADMET: Toxicity

hERG Blockers:  0.002 hERG Blockers (10um):  0.004
Human Hepatotoxicity (H-HT):  0.979 Drug-induced Liver Injury (DILI):  0.977
AMES Toxicity:  0.865 Rat Oral Acute Toxicity:  0.007
Maximum Recommended Daily Dose:  0.01 Skin Sensitization:  1.0
Carcinogencity:  0.132 Eye Corrosion:  0.0
Eye Irritation:  0.003 Respiratory Toxicity:  0.01
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.997
Hematotoxicity:  0.558 Drug-induced Nephrotoxicity:  0.984
Genotoxicity:  0.851 RPMI-8226 Immunitoxicity:  0.074
A549 Cytotoxicity:  0.136 Hek293 Cytotoxicity:  0.17
BCF:   0.488
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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:   3.569
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.429
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.326
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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
NPO7559 Albizia adianthifolia Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[12662095]
NPO29529 Acacia victoriae Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[12828461]
NPO29529 Acacia victoriae Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7559 Albizia adianthifolia Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29529 Acacia victoriae Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7559 Albizia adianthifolia Species Fabaceae 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
NPT15 Cell line Jurkat Homo sapiens IC50 > 100.0 ug.mL-1 PMID[20359898]

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 NPC243680 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
0.9038 High Similarity NPC200788
0.8824 High Similarity NPC145899
0.8333 Intermediate Similarity NPC473824
0.8286 Intermediate Similarity NPC37134
0.7706 Intermediate Similarity NPC75318
0.7589 Intermediate Similarity NPC475119
0.7545 Intermediate Similarity NPC291903
0.7281 Intermediate Similarity NPC172365
0.7054 Intermediate Similarity NPC484832
0.7043 Intermediate Similarity NPC280941
0.7043 Intermediate Similarity NPC235772
0.6875 Remote Similarity NPC120667
0.6875 Remote Similarity NPC278272
0.6814 Remote Similarity NPC73829
0.6695 Remote Similarity NPC288205
0.6695 Remote Similarity NPC51465
0.661 Remote Similarity NPC210729
0.661 Remote Similarity NPC82931
0.6466 Remote Similarity NPC488515
0.6186 Remote Similarity NPC119794
0.614 Remote Similarity NPC488516
0.6111 Remote Similarity NPC242611
0.5984 Remote Similarity NPC207738
0.5982 Remote Similarity NPC76999
0.5948 Remote Similarity NPC80843
0.5882 Remote Similarity NPC105800
0.5781 Remote Similarity NPC475140
0.5667 Remote Similarity NPC104400
0.5667 Remote Similarity NPC10320
0.5641 Remote Similarity NPC480424
0.56 Remote Similarity NPC475486
0.5593 Remote Similarity NPC488561
0.5533 Remote Similarity NPC488618
0.55 Remote Similarity NPC469945
0.5497 Remote Similarity NPC488619
0.5447 Remote Similarity NPC481082
0.5447 Remote Similarity NPC164419
0.5425 Remote Similarity NPC113620
0.5424 Remote Similarity NPC56713
0.5391 Remote Similarity NPC185466
0.5355 Remote Similarity NPC100612
0.5344 Remote Similarity NPC166422
0.5321 Remote Similarity NPC488620
0.5285 Remote Similarity NPC232237
0.5268 Remote Similarity NPC283849
0.5267 Remote Similarity NPC471384
0.522 Remote Similarity NPC265699
0.52 Remote Similarity NPC257468
0.5191 Remote Similarity NPC151543
0.5175 Remote Similarity NPC31839
0.5161 Remote Similarity NPC488526
0.5128 Remote Similarity NPC191410
0.5124 Remote Similarity NPC127056
0.5078 Remote Similarity NPC481079
0.5061 Remote Similarity NPC174336
0.5035 Remote Similarity NPC482010
0.5034 Remote Similarity NPC489208

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC243680 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