Natural Product: NPC168849

Natural Product IDNPC168849
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Montanin
IUPAC Name n.a.
Synonyms NSC-282158
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL451572
PubChem CID 21575656
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0003494] Rhamnofolane and daphnane diterpenoids

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 SNFRINMTRPQQLE-KPYDUSLXSA-N
Standard InCHI InChI=1S/C32H48O8/c1-6-7-8-9-10-11-12-13-14-15-30-38-25-23-26-29(18-33,37-26)27(35)31(36)22(16-20(4)24(31)34)32(23,40-30)21(5)17-28(25,39-30)19(2)3/h16,21-23,25-27,33,35-36H,2,6-15,17-18H2,1,3-5H3/t21-,22-,23-,25-,26+,27-,28-,29+,30-,31-,32+/m1/s1
SMILES CCCCCCCCCCC[C@@]12O[C@H]3[C@@](O1)(C[C@H]([C@@]1(O2)[C@H]3[C@@H]2O[C@@]2([C@H]([C@]2([C@H]1C=C(C2=O)C)O)O)CO)C)C(=C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   560.33 Volume:   573.102
?
Van der Waals volume.
Dense:   0.978 LogP:   5.013
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.114
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.596
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   26.0
TPSA:   117.98
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.186 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.423 Fsp3:   0.844
MCE-18:   101.085
?
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:   0.427 Fluc inhibitor:   0.001
?
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:   0.001
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.145 Promiscuous compounds:   0.215

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.031 MDCK Permeability:   -4.634
Pgp-inhibitor:   0.0 Pgp-substrate:   0.008
PAMPA:   0.043
?
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):   0.044
20% Bioavailability (F20%):   0.866 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.843 MRP1:   0.999
Plasma Protein Binding (PPB):   97.327% Volume Distribution (VD):   0.739
Fu: 3.465%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.028
BSEP inhibitor:   0.876

ADMET: Metabolism

CYP1A2-inhibitor:   0.004 CYP1A2-substrate:   0.831
CYP2C19-inhibitor:   0.002 CYP2C19-substrate:   0.026
CYP2C9-inhibitor:   0.956 CYP2C9-substrate:   0.015
CYP2D6-inhibitor:   0.812 CYP2D6-substrate:   0.018
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.003 CYP2C8-inhibitor:   0.999
HLM stability:   0.098
?
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):  5.703 Half-life (T1/2):  0.81

ADMET: Toxicity

hERG Blockers:  0.189 hERG Blockers (10um):  0.805
Human Hepatotoxicity (H-HT):  0.181 Drug-induced Liver Injury (DILI):  0.747
AMES Toxicity:  0.85 Rat Oral Acute Toxicity:  0.661
Maximum Recommended Daily Dose:  0.163 Skin Sensitization:  1.0
Carcinogencity:  0.508 Eye Corrosion:  0.076
Eye Irritation:  0.889 Respiratory Toxicity:  0.32
Drug-induced Neurotoxicity:  0.198 Ototoxicity:  0.729
Hematotoxicity:  0.37 Drug-induced Nephrotoxicity:  0.185
Genotoxicity:  0.001 RPMI-8226 Immunitoxicity:  0.212
A549 Cytotoxicity:  0.884 Hek293 Cytotoxicity:  0.893
BCF:   2.287
?
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:   5.462
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.442
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.322
?
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
NPO32485 cunuria spruceana Species n.a. n.a. n.a. n.a. n.a. PMID[541688]

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
NPT168 Cell line P388 Mus musculus ED50 = 0.06 ug ml-1 PMID[26123643]

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 NPC168849 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 NPC475273
1.0 High Similarity NPC217901
1.0 High Similarity NPC611341
0.726 Intermediate Similarity NPC162495
0.6974 Remote Similarity NPC474508
0.6974 Remote Similarity NPC473485
0.6974 Remote Similarity NPC171411
0.6974 Remote Similarity NPC485701
0.6842 Remote Similarity NPC251564
0.6842 Remote Similarity NPC477189
0.6486 Remote Similarity NPC608985
0.6463 Remote Similarity NPC605479
0.64 Remote Similarity NPC605473
0.64 Remote Similarity NPC610597
0.6316 Remote Similarity NPC142882
0.6316 Remote Similarity NPC608716
0.6316 Remote Similarity NPC609033
0.6136 Remote Similarity NPC486154
0.5663 Remote Similarity NPC180902
0.5581 Remote Similarity NPC475139
0.5529 Remote Similarity NPC182266
0.5529 Remote Similarity NPC475154
0.5529 Remote Similarity NPC485700
0.5476 Remote Similarity NPC485693
0.5432 Remote Similarity NPC329008
0.5432 Remote Similarity NPC317635
0.5432 Remote Similarity NPC146310
0.5432 Remote Similarity NPC485696
0.5412 Remote Similarity NPC223356
0.5412 Remote Similarity NPC298697
0.5412 Remote Similarity NPC475500
0.5412 Remote Similarity NPC100017
0.5412 Remote Similarity NPC481742
0.5357 Remote Similarity NPC475314
0.5357 Remote Similarity NPC102997
0.5349 Remote Similarity NPC75831
0.5349 Remote Similarity NPC471137
0.5287 Remote Similarity NPC471136
0.5287 Remote Similarity NPC116727
0.5287 Remote Similarity NPC39509
0.5227 Remote Similarity NPC481744
0.5227 Remote Similarity NPC481743
0.5176 Remote Similarity NPC324104
0.5176 Remote Similarity NPC473548
0.5119 Remote Similarity NPC475606
0.5111 Remote Similarity NPC475548
0.5111 Remote Similarity NPC485698

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC168849 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