Structure

Physi-Chem Properties

Molecular Weight:  296.31
Volume:  360.63
LogP:  7.305
LogD:  5.974
LogS:  -6.101
# Rotatable Bonds:  13
TPSA:  20.23
# H-Bond Aceptor:  1
# H-Bond Donor:  1
# Rings:  0
# Heavy Atoms:  1

MedChem Properties

QED Drug-Likeness Score:  0.392
Synthetic Accessibility Score:  3.291
Fsp3:  0.9
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.46
MDCK Permeability:  1.2901807167509105e-05
Pgp-inhibitor:  0.069
Pgp-substrate:  0.003
Human Intestinal Absorption (HIA):  0.004
20% Bioavailability (F20%):  0.953
30% Bioavailability (F30%):  0.958

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.283
Plasma Protein Binding (PPB):  97.90570831298828%
Volume Distribution (VD):  2.288
Pgp-substrate:  2.3303871154785156%

ADMET: Metabolism

CYP1A2-inhibitor:  0.399
CYP1A2-substrate:  0.187
CYP2C19-inhibitor:  0.381
CYP2C19-substrate:  0.067
CYP2C9-inhibitor:  0.431
CYP2C9-substrate:  0.897
CYP2D6-inhibitor:  0.13
CYP2D6-substrate:  0.037
CYP3A4-inhibitor:  0.189
CYP3A4-substrate:  0.105

ADMET: Excretion

Clearance (CL):  5.955
Half-life (T1/2):  0.186

ADMET: Toxicity

hERG Blockers:  0.014
Human Hepatotoxicity (H-HT):  0.047
Drug-inuced Liver Injury (DILI):  0.063
AMES Toxicity:  0.002
Rat Oral Acute Toxicity:  0.009
Maximum Recommended Daily Dose:  0.522
Skin Sensitization:  0.973
Carcinogencity:  0.033
Eye Corrosion:  0.852
Eye Irritation:  0.956
Respiratory Toxicity:  0.049

Download Data

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

  Natural Product: NPC226762

Natural Product ID:  NPC226762
Common Name*:   BOTWFXYSPFMFNR-IHKHCKEISA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  BOTWFXYSPFMFNR-IHKHCKEISA-N
Standard InCHI:  InChI=1S/C20H40O/c1-17(2)9-6-10-18(3)11-7-12-19(4)13-8-14-20(5)15-16-21/h15,17-19,21H,6-14,16H2,1-5H3/b20-15+/t18-,19+/m1/s1
SMILES:  CC(C)CCC[C@@H](C)CCC[C@H](C)CCC/C(=C/CO)/C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   6474938
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0001357] Acyclic 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
NPO4682 Lindera aggregata Species Lauraceae Eukaryota n.a. leaf n.a. PMID[17999353]
NPO4682 Lindera aggregata Species Lauraceae Eukaryota Roots; Tubers n.a. n.a. PMID[19639966]
NPO9925 Rhododendron latoucheae Species Ericaceae Eukaryota Twigs; Leaves n.a. n.a. PMID[30106288]
NPO9480 Huperzia miyoshiana Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9480 Huperzia miyoshiana Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4682 Lindera aggregata Species Lauraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4682 Lindera aggregata Species Lauraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO9571 Pseudobrickellia brasiliensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9301 Dioscorea sativa Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9925 Rhododendron latoucheae Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19174 Anoplophora chinensis Species Cerambycidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9480 Huperzia miyoshiana Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1155 Forsythia japonica Species Oleaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4682 Lindera aggregata Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6475 Gymnosporia trigyna Species Celastraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7522 Streptomyces amakusaensis Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO313 Castilleja sulphurea Species Orobanchaceae 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 NPC226762 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 NPC226762 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