Structure

Physi-Chem Properties

Molecular Weight:  426.35
Volume:  485.585
LogP:  6.376
LogD:  6.12
LogS:  -5.6
# Rotatable Bonds:  5
TPSA:  34.14
# H-Bond Aceptor:  2
# H-Bond Donor:  0
# Rings:  4
# Heavy Atoms:  2

MedChem Properties

QED Drug-Likeness Score:  0.433
Synthetic Accessibility Score:  4.687
Fsp3:  0.862
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.703
MDCK Permeability:  1.4488347005681135e-05
Pgp-inhibitor:  0.989
Pgp-substrate:  0.014
Human Intestinal Absorption (HIA):  0.018
20% Bioavailability (F20%):  0.973
30% Bioavailability (F30%):  0.972

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.515
Plasma Protein Binding (PPB):  85.59721374511719%
Volume Distribution (VD):  1.277
Pgp-substrate:  0.9787566661834717%

ADMET: Metabolism

CYP1A2-inhibitor:  0.063
CYP1A2-substrate:  0.556
CYP2C19-inhibitor:  0.159
CYP2C19-substrate:  0.911
CYP2C9-inhibitor:  0.354
CYP2C9-substrate:  0.1
CYP2D6-inhibitor:  0.019
CYP2D6-substrate:  0.516
CYP3A4-inhibitor:  0.81
CYP3A4-substrate:  0.78

ADMET: Excretion

Clearance (CL):  4.685
Half-life (T1/2):  0.163

ADMET: Toxicity

hERG Blockers:  0.348
Human Hepatotoxicity (H-HT):  0.461
Drug-inuced Liver Injury (DILI):  0.633
AMES Toxicity:  0.007
Rat Oral Acute Toxicity:  0.89
Maximum Recommended Daily Dose:  0.941
Skin Sensitization:  0.513
Carcinogencity:  0.05
Eye Corrosion:  0.017
Eye Irritation:  0.029
Respiratory Toxicity:  0.967

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

  Natural Product: NPC134737

Natural Product ID:  NPC134737
Common Name*:   FFKIQLXJMQUBQZ-PCZQUQHRSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  FFKIQLXJMQUBQZ-PCZQUQHRSA-N
Standard InCHI:  InChI=1S/C29H46O2/c1-7-20(18(2)3)9-8-19(4)23-10-11-24-22-17-27(31)26-16-21(30)12-14-29(26,6)25(22)13-15-28(23,24)5/h8-9,16,18-20,22-25,27,31H,7,10-15,17H2,1-6H3/b9-8+/t19-,20-,22+,23-,24+,25+,27+,28-,29-/m1/s1
SMILES:  CC[C@H](/C=C/[C@@H](C)[C@H]1CC[C@H]2[C@@H]3C[C@@H](C4=CC(=O)CC[C@]4(C)[C@H]3CC[C@]12C)O)C(C)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   86333780
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0002031] Stigmastanes 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
NPO809 Leitneria floridana Species Simaroubaceae Eukaryota n.a. aerial part n.a. PMID[11141127]
NPO27517 Crinum latifolium Species Amaryllidaceae Eukaryota n.a. leaf n.a. PMID[15595606]
NPO5635 Bauhinia purpurea Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[16562827]
NPO5635 Bauhinia purpurea Species Fabaceae Eukaryota n.a. root n.a. PMID[17480099]
NPO5635 Bauhinia purpurea Species Fabaceae Eukaryota roots Phitsanulok Province, Thailand 2004-MAY PMID[17480099]
NPO27517 Crinum latifolium Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO27517 Crinum latifolium Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8977 0tholaena aschenborniana Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3357 Alnus cordata Species Betulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2455 Thermopsis mollis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6828 Purpura aperta Species Muricidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9608 Lepraria citrina Species Stereocaulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO809 Leitneria floridana Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8807 Laurentia longiflora n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO4382 Elmerrillia papuana n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO25475 Syphonota geographica Species Aplysiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5635 Bauhinia purpurea Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27517 Crinum latifolium Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1490 Goldfussia yunnanensis n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO9881 Petrosia hebes Species Petrosiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4628 Aloe deltoideodonta Species Asphodelaceae 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 NPC134737 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 NPC134737 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