Structure

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Physi-Chem Properties

Molecular Weight:  238.19
Volume:  265.827
LogP:  2.938
LogD:  2.581
LogS:  -3.328
# Rotatable Bonds:  1
TPSA:  40.46
# H-Bond Aceptor:  2
# H-Bond Donor:  2
# Rings:  2
# Heavy Atoms:  2

MedChem Properties

QED Drug-Likeness Score:  0.69
Synthetic Accessibility Score:  4.349
Fsp3:  0.867
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.41
MDCK Permeability:  2.5090534109040163e-05
Pgp-inhibitor:  0.001
Pgp-substrate:  0.081
Human Intestinal Absorption (HIA):  0.003
20% Bioavailability (F20%):  0.82
30% Bioavailability (F30%):  0.032

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.224
Plasma Protein Binding (PPB):  85.39525604248047%
Volume Distribution (VD):  1.347
Pgp-substrate:  14.885379791259766%

ADMET: Metabolism

CYP1A2-inhibitor:  0.045
CYP1A2-substrate:  0.231
CYP2C19-inhibitor:  0.03
CYP2C19-substrate:  0.86
CYP2C9-inhibitor:  0.05
CYP2C9-substrate:  0.44
CYP2D6-inhibitor:  0.012
CYP2D6-substrate:  0.196
CYP3A4-inhibitor:  0.144
CYP3A4-substrate:  0.306

ADMET: Excretion

Clearance (CL):  8.243
Half-life (T1/2):  0.463

ADMET: Toxicity

hERG Blockers:  0.027
Human Hepatotoxicity (H-HT):  0.056
Drug-inuced Liver Injury (DILI):  0.048
AMES Toxicity:  0.017
Rat Oral Acute Toxicity:  0.832
Maximum Recommended Daily Dose:  0.889
Skin Sensitization:  0.098
Carcinogencity:  0.068
Eye Corrosion:  0.025
Eye Irritation:  0.718
Respiratory Toxicity:  0.753

Download Data

Data Type Select
General Info & Identifiers & Properties  
Structure MOL file  
Source Organisms  
Biological Activities  
Similar NPs/Drugs  

  Natural Product: NPC164022

Natural Product ID:  NPC164022
Common Name*:   Oplodiol
IUPAC Name:   (1R,4S,4aR,8aR)-4,8a-dimethyl-6-propan-2-yl-1,2,3,4a,5,8-hexahydronaphthalene-1,4-diol
Synonyms:   Oplodiol
Standard InCHIKey:  SOZSXJHFVBBAOY-TUVASFSCSA-N
Standard InCHI:  InChI=1S/C15H26O2/c1-10(2)11-5-7-14(3)12(9-11)15(4,17)8-6-13(14)16/h5,10,12-13,16-17H,6-9H2,1-4H3/t12-,13-,14-,15+/m1/s1
SMILES:  CC(C1=CC[C@@]2([C@@H](C1)[C@@](C)(O)CC[C@H]2O)C)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL465432
PubChem CID:   12313756
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001550] Sesquiterpenoids

*Note: the InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
**Note: the Chemical Classification was calculated by NPClassifier Version 1.5. Reference: PMID:34662515.

  Species Source

☑ 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

☑ 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

☑ Note for Activity Records:
☉ The quantitative biological activities were primarily integrated from ChEMBL (Version-30) database and were also directly collected from PubMed literature. PubMed PMID was provided as the reference link for each activity record.

  Chemically structural similarity: I. Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes 4,3285 NPs with experimentally-derived bioactivity available in NPASS)

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules. Tc lies between [0, 1] where '1' indicates the highest similarity. What is Tanimoto coefficient

●  The left chart: Distribution of similarity level between NPC164022 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

  Chemically structural similarity: II. Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC164022 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

  Bioactivity similarity: Similar Natural Products in NPASS

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