Structure

Physi-Chem Properties

Molecular Weight:  610.37
Volume:  660.724
LogP:  8.729
LogD:  5.394
LogS:  -4.641
# Rotatable Bonds:  2
TPSA:  75.99
# H-Bond Aceptor:  5
# H-Bond Donor:  2
# Rings:  7
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.331
Synthetic Accessibility Score:  5.575
Fsp3:  0.575
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  1
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.981
MDCK Permeability:  7.943214768602047e-06
Pgp-inhibitor:  1.0
Pgp-substrate:  0.002
Human Intestinal Absorption (HIA):  0.964
20% Bioavailability (F20%):  0.99
30% Bioavailability (F30%):  0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.003
Plasma Protein Binding (PPB):  101.68048858642578%
Volume Distribution (VD):  1.209
Pgp-substrate:  3.718994140625%

ADMET: Metabolism

CYP1A2-inhibitor:  0.056
CYP1A2-substrate:  0.951
CYP2C19-inhibitor:  0.445
CYP2C19-substrate:  0.913
CYP2C9-inhibitor:  0.268
CYP2C9-substrate:  0.816
CYP2D6-inhibitor:  0.157
CYP2D6-substrate:  0.108
CYP3A4-inhibitor:  0.459
CYP3A4-substrate:  0.914

ADMET: Excretion

Clearance (CL):  3.576
Half-life (T1/2):  0.06

ADMET: Toxicity

hERG Blockers:  0.085
Human Hepatotoxicity (H-HT):  0.5
Drug-inuced Liver Injury (DILI):  0.144
AMES Toxicity:  0.111
Rat Oral Acute Toxicity:  0.95
Maximum Recommended Daily Dose:  0.935
Skin Sensitization:  0.831
Carcinogencity:  0.9
Eye Corrosion:  0.003
Eye Irritation:  0.871
Respiratory Toxicity:  0.877

Download Data

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

  Natural Product: NPC139906

Natural Product ID:  NPC139906
Common Name*:   FDZOSTAWHXJLCT-TURKYLLISA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  FDZOSTAWHXJLCT-TURKYLLISA-N
Standard InCHI:  InChI=1S/C40H50O5/c1-21(2)24-17-23-18-29-40(37(7,8)14-12-16-39(40,10)30(23)33(43)32(24)42)45-34-25(22(3)4)19-26-27(41)20-28-36(5,6)13-11-15-38(28,9)31(26)35(34)44-29/h17-22,29,43H,11-16H2,1-10H3/t29-,38-,39+,40+/m1/s1
SMILES:  CC(C)C1=CC2=C[C@@H]3[C@@]4(C(C)(C)CCC[C@@]4(C)C2=C(C1=O)O)Oc1c(cc2C(=O)C=C4C(C)(C)CCC[C@@]4(C)c2c1O3)C(C)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   10326402
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids

*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

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO19451 Salvia prionitis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[11473439]
NPO19451 Salvia prionitis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[12141863]
NPO21056 Angelica keiskei Species Apiaceae Eukaryota exudates n.a. n.a. PMID[16441065]
NPO21056 Angelica keiskei Species Apiaceae Eukaryota stems n.a. n.a. PMID[18558745]
NPO21056 Angelica keiskei Species Apiaceae Eukaryota n.a. n.a. n.a. PMID[21824777]
NPO21056 Angelica keiskei Species Apiaceae Eukaryota stems n.a. n.a. PMID[25891102]
NPO21056 Angelica keiskei Species Apiaceae Eukaryota n.a. n.a. Database[FooDB]
NPO21056 Angelica keiskei Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO19451 Salvia prionitis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO21056 Angelica keiskei Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19451 Salvia prionitis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19451 Salvia prionitis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO19451 Salvia prionitis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19148 Gouania tomentosa Species Gobiesocidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21396 Spongia vermicularis Species Spongiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21056 Angelica keiskei Species Apiaceae 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 NP ID 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

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

☑ 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 NPC139906 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

Similarity Score Similarity Level Natural Product ID

  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 NPC139906 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage

  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