Natural Product: NPC20976

Natural Product IDNPC20976
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
VUBCDVLKKVVOTB-ORVHFINVSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 6325375
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 VUBCDVLKKVVOTB-ORVHFINVSA-N
Standard InCHI InChI=1S/C36H58O9/c1-31(2)14-15-36(30(43)45-29-28(42)27(41)26(40)21(18-37)44-29)20(16-31)19-8-9-23-33(5)12-11-24(38)32(3,4)22(33)10-13-34(23,6)35(19,7)17-25(36)39/h8,20-29,37-42H,9-18H2,1-7H3/t20?,21-,22?,23?,24?,25?,26-,27+,28-,29+,33+,34-,35?,36?/m1/s1
SMILES CC1(C)CCC2(C(C1)C1=CCC3[C@@]4(C)CCC(C(C)(C)C4CC[C@@]3(C)C1(C)CC2O)O)C(=O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   634.41 Volume:   653.712
?
Van der Waals volume.
Dense:   0.97 LogP:   3.401
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.682
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.954
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   33.0
TPSA:   156.91
?
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:   0.202 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.349 Fsp3:   0.917
MCE-18:   130.783
?
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:   0.62 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.017
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.024
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.139 Promiscuous compounds:   0.004

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.754 MDCK Permeability:   -5.114
Pgp-inhibitor:   0.0 Pgp-substrate:   0.069
PAMPA:   0.999
?
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):   0.052
20% Bioavailability (F20%):   0.413 30% Bioavailability (F30%):   0.991
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.13 MRP1:   0.627
Plasma Protein Binding (PPB):   71.758% Volume Distribution (VD):   -0.275
Fu: 18.827%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.008
BSEP inhibitor:   0.015

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.273 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.006 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.011
CYP3A4-inhibitor:   0.107 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.6
HLM stability:   0.166
?
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):  2.761 Half-life (T1/2):  2.778

ADMET: Toxicity

hERG Blockers:  0.009 hERG Blockers (10um):  0.058
Human Hepatotoxicity (H-HT):  0.689 Drug-induced Liver Injury (DILI):  0.236
AMES Toxicity:  0.49 Rat Oral Acute Toxicity:  0.025
Maximum Recommended Daily Dose:  0.122 Skin Sensitization:  0.966
Carcinogencity:  0.326 Eye Corrosion:  0.0
Eye Irritation:  0.003 Respiratory Toxicity:  0.006
Drug-induced Neurotoxicity:  0.003 Ototoxicity:  0.99
Hematotoxicity:  0.142 Drug-induced Nephrotoxicity:  0.777
Genotoxicity:  0.187 RPMI-8226 Immunitoxicity:  0.052
A549 Cytotoxicity:  0.247 Hek293 Cytotoxicity:  0.298
BCF:   1.845
?
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:   4.513
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.182
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.342
?
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
NPO26138 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[26020634]
NPO26138 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. leaf n.a. PMID[8229021]
NPO26138 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26138 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26138 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO26138 Rosmarinus officinalis Species Lamiaceae 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 NPC20976 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
0.7922 Intermediate Similarity NPC167383
0.775 Intermediate Similarity NPC48249
0.7529 Intermediate Similarity NPC1046
0.7442 Intermediate Similarity NPC475208
0.7363 Intermediate Similarity NPC305267
0.726 Intermediate Similarity NPC488519
0.7073 Intermediate Similarity NPC237503
0.6907 Remote Similarity NPC69811
0.6818 Remote Similarity NPC238935
0.6771 Remote Similarity NPC64715
0.6632 Remote Similarity NPC164389
0.6585 Remote Similarity NPC191763
0.6548 Remote Similarity NPC46388
0.6436 Remote Similarity NPC11242
0.6374 Remote Similarity NPC29069
0.6321 Remote Similarity NPC25663
0.6207 Remote Similarity NPC306746
0.6203 Remote Similarity NPC164349
0.6176 Remote Similarity NPC104137
0.6176 Remote Similarity NPC26626
0.6105 Remote Similarity NPC480420
0.6087 Remote Similarity NPC214484
0.6075 Remote Similarity NPC283417
0.6075 Remote Similarity NPC200049
0.6 Remote Similarity NPC253807
0.6 Remote Similarity NPC158662
0.5976 Remote Similarity NPC488520
0.5963 Remote Similarity NPC4749
0.5962 Remote Similarity NPC815
0.5929 Remote Similarity NPC476991
0.5909 Remote Similarity NPC21691
0.5876 Remote Similarity NPC39211
0.5867 Remote Similarity NPC34177
0.5859 Remote Similarity NPC104071
0.5843 Remote Similarity NPC37739
0.5833 Remote Similarity NPC475516
0.5833 Remote Similarity NPC488522
0.5804 Remote Similarity NPC475514
0.5794 Remote Similarity NPC123522
0.5789 Remote Similarity NPC48499
0.5778 Remote Similarity NPC604133
0.5769 Remote Similarity NPC246708
0.5714 Remote Similarity NPC295371
0.5699 Remote Similarity NPC209894
0.5698 Remote Similarity NPC488524
0.5676 Remote Similarity NPC85154
0.567 Remote Similarity NPC235405
0.5667 Remote Similarity NPC199457
0.5658 Remote Similarity NPC311078
0.5658 Remote Similarity NPC101475
0.5657 Remote Similarity NPC469946
0.5652 Remote Similarity NPC302543
0.5644 Remote Similarity NPC473459
0.5618 Remote Similarity NPC605954
0.5612 Remote Similarity NPC249848
0.5612 Remote Similarity NPC150400
0.5612 Remote Similarity NPC107966
0.5604 Remote Similarity NPC137917
0.5604 Remote Similarity NPC310014
0.5604 Remote Similarity NPC68419
0.5604 Remote Similarity NPC269315
0.56 Remote Similarity NPC223301
0.56 Remote Similarity NPC171544
0.5584 Remote Similarity NPC235341
0.5575 Remote Similarity NPC473452
0.5575 Remote Similarity NPC286457
0.5556 Remote Similarity NPC473884
0.5556 Remote Similarity NPC220160
0.5556 Remote Similarity NPC157868
0.5526 Remote Similarity NPC470876
0.549 Remote Similarity NPC488526
0.5476 Remote Similarity NPC294360
0.5467 Remote Similarity NPC290598
0.5467 Remote Similarity NPC30590
0.5446 Remote Similarity NPC192791
0.5446 Remote Similarity NPC242840
0.5446 Remote Similarity NPC112352
0.5437 Remote Similarity NPC235438
0.5435 Remote Similarity NPC7870
0.5435 Remote Similarity NPC75747
0.5429 Remote Similarity NPC104372
0.5417 Remote Similarity NPC90856
0.5392 Remote Similarity NPC30735
0.5392 Remote Similarity NPC117714
0.5392 Remote Similarity NPC30289
0.5385 Remote Similarity NPC222580
0.5385 Remote Similarity NPC297263
0.5385 Remote Similarity NPC190837
0.5376 Remote Similarity NPC110139
0.5376 Remote Similarity NPC108709
0.5347 Remote Similarity NPC76497
0.534 Remote Similarity NPC40775
0.534 Remote Similarity NPC10607
0.534 Remote Similarity NPC251768
0.534 Remote Similarity NPC159309
0.534 Remote Similarity NPC102439
0.534 Remote Similarity NPC46665
0.534 Remote Similarity NPC2370
0.534 Remote Similarity NPC86222
0.5316 Remote Similarity NPC470588
0.5294 Remote Similarity NPC51564
0.5288 Remote Similarity NPC475591
0.5288 Remote Similarity NPC63159
0.5288 Remote Similarity NPC236870
0.5287 Remote Similarity NPC283343
0.5278 Remote Similarity NPC31838
0.5254 Remote Similarity NPC144644
0.5254 Remote Similarity NPC37860
0.5254 Remote Similarity NPC170407
0.5234 Remote Similarity NPC301449
0.5234 Remote Similarity NPC601290
0.5227 Remote Similarity NPC473160
0.5217 Remote Similarity NPC116794
0.5213 Remote Similarity NPC271138
0.52 Remote Similarity NPC139894
0.5192 Remote Similarity NPC44716
0.5185 Remote Similarity NPC80986
0.5167 Remote Similarity NPC142151
0.5167 Remote Similarity NPC267694
0.5164 Remote Similarity NPC489209
0.5161 Remote Similarity NPC65590
0.5161 Remote Similarity NPC125923
0.5152 Remote Similarity NPC179434
0.514 Remote Similarity NPC281148
0.514 Remote Similarity NPC114484
0.5138 Remote Similarity NPC207738
0.5138 Remote Similarity NPC481078
0.5138 Remote Similarity NPC187290
0.5125 Remote Similarity NPC159168
0.5104 Remote Similarity NPC128925
0.5104 Remote Similarity NPC256798
0.5102 Remote Similarity NPC204458
0.5102 Remote Similarity NPC189884
0.5102 Remote Similarity NPC138334
0.5086 Remote Similarity NPC473386
0.5082 Remote Similarity NPC68767
0.5082 Remote Similarity NPC293031
0.5081 Remote Similarity NPC33012
0.5059 Remote Similarity NPC49776
0.5059 Remote Similarity NPC63118
0.5059 Remote Similarity NPC474436
0.5053 Remote Similarity NPC102914
0.5052 Remote Similarity NPC607754
0.5049 Remote Similarity NPC263756
0.5049 Remote Similarity NPC213674
0.5046 Remote Similarity NPC481030
0.5045 Remote Similarity NPC213952
0.5041 Remote Similarity NPC110385
0.5041 Remote Similarity NPC153673
0.5041 Remote Similarity NPC482010
0.5041 Remote Similarity NPC51099

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC20976 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