Structure

Physi-Chem Properties

Molecular Weight:  492.35
Volume:  523.383
LogP:  3.767
LogD:  4.247
LogS:  -4.442
# Rotatable Bonds:  5
TPSA:  107.22
# H-Bond Aceptor:  6
# H-Bond Donor:  4
# Rings:  4
# Heavy Atoms:  6

MedChem Properties

QED Drug-Likeness Score:  0.344
Synthetic Accessibility Score:  5.271
Fsp3:  0.897
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.83
MDCK Permeability:  4.8088702897075564e-05
Pgp-inhibitor:  0.987
Pgp-substrate:  0.994
Human Intestinal Absorption (HIA):  0.276
20% Bioavailability (F20%):  0.254
30% Bioavailability (F30%):  0.97

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.02
Plasma Protein Binding (PPB):  92.73603057861328%
Volume Distribution (VD):  0.89
Pgp-substrate:  2.115980625152588%

ADMET: Metabolism

CYP1A2-inhibitor:  0.11
CYP1A2-substrate:  0.244
CYP2C19-inhibitor:  0.018
CYP2C19-substrate:  0.73
CYP2C9-inhibitor:  0.057
CYP2C9-substrate:  0.15
CYP2D6-inhibitor:  0.004
CYP2D6-substrate:  0.091
CYP3A4-inhibitor:  0.474
CYP3A4-substrate:  0.28

ADMET: Excretion

Clearance (CL):  5.39
Half-life (T1/2):  0.17

ADMET: Toxicity

hERG Blockers:  0.133
Human Hepatotoxicity (H-HT):  0.227
Drug-inuced Liver Injury (DILI):  0.2
AMES Toxicity:  0.021
Rat Oral Acute Toxicity:  0.254
Maximum Recommended Daily Dose:  0.031
Skin Sensitization:  0.598
Carcinogencity:  0.035
Eye Corrosion:  0.014
Eye Irritation:  0.039
Respiratory Toxicity:  0.955

Download Data

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

  Natural Product: NPC159690

Natural Product ID:  NPC159690
Common Name*:   LRRBQWHWKJDDAW-XSTACDCCSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  LRRBQWHWKJDDAW-XSTACDCCSA-N
Standard InCHI:  InChI=1S/C29H48O6/c1-7-17(15(2)3)26(33)25(32)16(4)19-8-9-20-18-14-35-27(34)22-12-23(30)24(31)13-29(22,6)21(18)10-11-28(19,20)5/h7,15-16,18-26,30-33H,8-14H2,1-6H3/b17-7+/t16-,18-,19+,20-,21+,22+,23-,24+,25+,26+,28+,29+/m0/s1
SMILES:  C/C=C(C(C)C)/[C@H]([C@@H]([C@@H](C)[C@H]1CC[C@H]2[C@@H]3COC(=O)[C@H]4C[C@@H]([C@@H](C[C@]4(C)[C@@H]3CC[C@]12C)O)O)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001125] Steroid lactones
          • [CHEMONTID:0001774] Brassinolides and derivatives

*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
NPO21105 Madhuca longifolia Species Sapotaceae Eukaryota n.a. n.a. n.a. PMID[11141115]
NPO16139 Garcinia lancilimba Species Clusiaceae Eukaryota n.a. bark n.a. PMID[17541202]
NPO18438 Samanea saman Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[21228101]
NPO7210 Rhizophora mucronata Species Rhizophoraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19035 Croton cajucara Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18464 Pilocarpus goudotianus Species Rutaceae Eukaryota n.a. n.a. n.a. Database[Title]
NPO19035 Croton cajucara Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7210 Rhizophora mucronata Species Rhizophoraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20942 Isoplexis isabelliana Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16139 Garcinia lancilimba Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1856 Tomophagus colossus Species Ganodermataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18464 Pilocarpus goudotianus Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21240 Pinus elliottii Species Pinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13111 Aplophyllum dubium n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO18438 Samanea saman Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16994 Codiaeum variegatum Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21105 Madhuca longifolia Species Sapotaceae 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 NPC159690 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 NPC159690 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