Natural Product: NPC267469

Natural Product IDNPC267469
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Casearborin C
IUPAC Name [(1S,3R,5R,6aS,7R,8R,10S,10aS)-1,3-diacetyloxy-5-hydroxy-7,8-dimethyl-7-[(2E)-3-methylpenta-2,4-dienyl]-1,3,5,6,6a,8,9,10-octahydrobenzo[d][2]benzofuran-10-yl] 4-hydroxybenzoate
Synonyms Casearborin C
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL524707
PubChem CID 10437654
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0001757] Colensane and clerodane 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 CIQOXQMVAFIWID-VICZHGOXSA-N
Standard InCHI InChI=1S/C31H38O9/c1-7-17(2)12-13-30(6)18(3)14-26(39-27(36)21-8-10-22(34)11-9-21)31-24(15-23(35)16-25(30)31)28(37-19(4)32)40-29(31)38-20(5)33/h7-12,15,18,23,25-26,28-29,34-35H,1,13-14,16H2,2-6H3/b17-12+/t18-,23+,25+,26+,28+,29-,30-,31-/m1/s1
SMILES C=C/C(=C/C[C@]1(C)[C@H](C)C[C@@H]([C@@]23C(=C[C@@H](C[C@@H]12)O)[C@@H](OC(=O)C)O[C@H]3OC(=O)C)OC(=O)c1ccc(cc1)O)/C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   554.25 Volume:   565.89
?
Van der Waals volume.
Dense:   0.979 LogP:   3.02
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.912
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.98
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   26.0
TPSA:   128.59
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.215 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.555 Fsp3:   0.516
MCE-18:   137.191
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.88 Fluc inhibitor:   0.015
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.008
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.025
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.196 Promiscuous compounds:   0.299

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.38 MDCK Permeability:   -4.996
Pgp-inhibitor:   0.248 Pgp-substrate:   0.732
PAMPA:   0.875
?
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):   0.0
20% Bioavailability (F20%):   0.989 30% Bioavailability (F30%):   0.996
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.997
Plasma Protein Binding (PPB):   95.283% Volume Distribution (VD):   -0.097
Fu: 4.067%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.851 BCRP inhibitor:   0.42
BSEP inhibitor:   0.946

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.051
CYP2C19-inhibitor:   0.003 CYP2C19-substrate:   0.246
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.274
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.03
CYP3A4-inhibitor:   0.005 CYP3A4-substrate:   0.553
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.979
HLM stability:   0.988
?
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):  7.413 Half-life (T1/2):  1.155

ADMET: Toxicity

hERG Blockers:  0.121 hERG Blockers (10um):  0.539
Human Hepatotoxicity (H-HT):  0.378 Drug-induced Liver Injury (DILI):  0.903
AMES Toxicity:  0.907 Rat Oral Acute Toxicity:  0.902
Maximum Recommended Daily Dose:  0.994 Skin Sensitization:  0.992
Carcinogencity:  0.764 Eye Corrosion:  0.0
Eye Irritation:  0.026 Respiratory Toxicity:  0.891
Drug-induced Neurotoxicity:  0.88 Ototoxicity:  0.454
Hematotoxicity:  0.381 Drug-induced Nephrotoxicity:  0.723
Genotoxicity:  0.996 RPMI-8226 Immunitoxicity:  0.338
A549 Cytotoxicity:  0.93 Hek293 Cytotoxicity:  0.821
BCF:   0.961
?
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:   3.995
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.424
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.061
?
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
NPO28776 Casearia arborea Species Salicaceae Eukaryota n.a. n.a. n.a. PMID[10843580]
NPO28776 Casearia arborea Species Salicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28776 Casearia arborea Species Salicaceae 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
NPT390 Cell line LOX IMVI Homo sapiens IC50 = 290.0 nM PMID[20961068]
NPT374 Cell line SF-539 Homo sapiens IC50 = 290.0 nM PMID[23675610]

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 NPC267469 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
0.7895 Intermediate Similarity NPC162569
0.7895 Intermediate Similarity NPC35160
0.679 Remote Similarity NPC230331
0.6667 Remote Similarity NPC116292
0.6341 Remote Similarity NPC208293
0.6265 Remote Similarity NPC473399
0.6265 Remote Similarity NPC473216
0.6 Remote Similarity NPC470024
0.5568 Remote Similarity NPC486759
0.5542 Remote Similarity NPC488221
0.5542 Remote Similarity NPC488220
0.5542 Remote Similarity NPC488216
0.5455 Remote Similarity NPC98112
0.5435 Remote Similarity NPC100420
0.5341 Remote Similarity NPC87630
0.5325 Remote Similarity NPC603601
0.5316 Remote Similarity NPC488651
0.5316 Remote Similarity NPC488648
0.5287 Remote Similarity NPC486753
0.5287 Remote Similarity NPC486752
0.5263 Remote Similarity NPC320734
0.525 Remote Similarity NPC488235
0.519 Remote Similarity NPC606965
0.5125 Remote Similarity NPC600724
0.5122 Remote Similarity NPC473204
0.5106 Remote Similarity NPC486754

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC267469 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