Natural Product: NPC134270

Natural Product IDNPC134270
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Caseargrewins G
IUPAC Name [(1S,3S,5R,6aS,7R,8R,10S,10aS)-1-acetyloxy-10-hydroxy-3-methoxy-7,8-dimethyl-7-[(2Z)-3-methylpenta-2,4-dienyl]-1,3,5,6,6a,8,9,10-octahydrobenzo[d][2]benzofuran-5-yl] butanoate
Synonyms caseargrewins G
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL231215
PubChem CID 16756886
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 HYYVVSPRNZXNBO-MXRYFZCASA-N
Standard InCHI InChI=1S/C27H40O7/c1-8-10-23(30)33-19-14-20-24(31-7)34-25(32-18(5)28)27(20)21(15-19)26(6,12-11-16(3)9-2)17(4)13-22(27)29/h9,11,14,17,19,21-22,24-25,29H,2,8,10,12-13,15H2,1,3-7H3/b16-11-/t17-,19+,21+,22+,24+,25-,26-,27-/m1/s1
SMILES CCCC(=O)O[C@H]1C=C2[C@@H](OC)O[C@H]([C@]32[C@@H](C1)[C@](C)(C/C=C(C=C)/C)[C@@H](C[C@@H]3O)C)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   476.28 Volume:   498.228
?
Van der Waals volume.
Dense:   0.956 LogP:   3.621
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.376
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.995
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   19.0
TPSA:   91.29
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.314 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.75 Fsp3:   0.704
MCE-18:   85.87
?
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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.58 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.005
?
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:   0.332 Promiscuous compounds:   0.66

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.313 MDCK Permeability:   -5.005
Pgp-inhibitor:   0.855 Pgp-substrate:   0.961
PAMPA:   0.48
?
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):   0.037
20% Bioavailability (F20%):   0.995 30% Bioavailability (F30%):   0.987
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.007 MRP1:   0.989
Plasma Protein Binding (PPB):   80.367% Volume Distribution (VD):   -0.22
Fu: 15.035%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.993
OATP1B3 inhibitor:   0.802 BCRP inhibitor:   0.317
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.229 CYP1A2-substrate:   0.598
CYP2C19-inhibitor:   0.603 CYP2C19-substrate:   0.024
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.107
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.034
CYP3A4-inhibitor:   0.113 CYP3A4-substrate:   0.108
CYP2B6-substrate:   0.057 CYP2C8-inhibitor:   0.986
HLM stability:   0.999
?
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):  9.192 Half-life (T1/2):  1.085

ADMET: Toxicity

hERG Blockers:  0.11 hERG Blockers (10um):  0.56
Human Hepatotoxicity (H-HT):  0.418 Drug-induced Liver Injury (DILI):  0.754
AMES Toxicity:  0.838 Rat Oral Acute Toxicity:  0.971
Maximum Recommended Daily Dose:  0.994 Skin Sensitization:  0.985
Carcinogencity:  0.522 Eye Corrosion:  0.0
Eye Irritation:  0.129 Respiratory Toxicity:  0.988
Drug-induced Neurotoxicity:  0.907 Ototoxicity:  0.623
Hematotoxicity:  0.626 Drug-induced Nephrotoxicity:  0.823
Genotoxicity:  0.917 RPMI-8226 Immunitoxicity:  0.336
A549 Cytotoxicity:  0.655 Hek293 Cytotoxicity:  0.461
BCF:   0.871
?
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:   3.671
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.522
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.827
?
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
NPO31460 Casearia grewiifolia Species Salicaceae Eukaryota n.a. bark n.a. PMID[15730240]
NPO31460 Casearia grewiifolia Species Salicaceae Eukaryota bark in the campus of Khon Kaen University, Khon Kaen, Thailand 2001-SEP PMID[15730240]
NPO31460 Casearia grewiifolia Species Salicaceae Eukaryota Fruits n.a. n.a. PMID[17567069]
NPO31460 Casearia grewiifolia Species Salicaceae Eukaryota n.a. n.a. n.a. PMID[26516994]
NPO31460 Casearia grewiifolia Species Salicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT91 Cell line KB Homo sapiens IC50 = 0.67 ug.mL-1 PMID[8277309]
NPT639 Cell line NCI-H187 Homo sapiens IC50 = 5.57 ug.mL-1 PMID[12398531]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 3.97 ug.mL-1 PMID[17567069]

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 NPC134270 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
0.9322 High Similarity NPC201880
0.918 High Similarity NPC252296
0.9167 High Similarity NPC609715
0.9138 High Similarity NPC488659
0.9138 High Similarity NPC604149
0.9 High Similarity NPC488654
0.8689 High Similarity NPC488660
0.8689 High Similarity NPC488657
0.8689 High Similarity NPC609880
0.8571 High Similarity NPC488964
0.8571 High Similarity NPC184512
0.8548 High Similarity NPC488658
0.8548 High Similarity NPC488655
0.85 High Similarity NPC602188
0.8387 Intermediate Similarity NPC81567
0.8387 Intermediate Similarity NPC488652
0.8361 Intermediate Similarity NPC488653
0.8095 Intermediate Similarity NPC329623
0.8095 Intermediate Similarity NPC609711
0.8065 Intermediate Similarity NPC488656
0.7969 Intermediate Similarity NPC330003
0.7969 Intermediate Similarity NPC470321
0.7969 Intermediate Similarity NPC264867
0.7969 Intermediate Similarity NPC473207
0.7273 Intermediate Similarity NPC7644
0.7101 Intermediate Similarity NPC119550
0.7027 Intermediate Similarity NPC109376
0.7015 Intermediate Similarity NPC479491
0.6716 Remote Similarity NPC479943
0.6667 Remote Similarity NPC238397
0.6533 Remote Similarity NPC116292
0.6528 Remote Similarity NPC127933
0.6522 Remote Similarity NPC479940
0.6522 Remote Similarity NPC316974
0.6522 Remote Similarity NPC479497
0.6286 Remote Similarity NPC311223
0.6197 Remote Similarity NPC475889
0.6197 Remote Similarity NPC7613
0.6197 Remote Similarity NPC479942
0.6111 Remote Similarity NPC479941
0.6087 Remote Similarity NPC88507
0.6027 Remote Similarity NPC471363
0.5972 Remote Similarity NPC217921
0.5972 Remote Similarity NPC135015
0.5952 Remote Similarity NPC320734
0.5942 Remote Similarity NPC600724
0.5797 Remote Similarity NPC606965
0.5758 Remote Similarity NPC604446
0.5753 Remote Similarity NPC88013
0.5735 Remote Similarity NPC603601
0.5616 Remote Similarity NPC311166
0.5542 Remote Similarity NPC224660
0.55 Remote Similarity NPC179128
0.5479 Remote Similarity NPC473204
0.5417 Remote Similarity NPC488235
0.5366 Remote Similarity NPC316708
0.5366 Remote Similarity NPC486751
0.5256 Remote Similarity NPC40728
0.52 Remote Similarity NPC128795
0.5132 Remote Similarity NPC218158
0.5128 Remote Similarity NPC125423
0.5122 Remote Similarity NPC87630
0.5068 Remote Similarity NPC481020

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC134270 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