Structure

Physi-Chem Properties

Molecular Weight:  262.12
Volume:  266.942
LogP:  2.231
LogD:  1.249
LogS:  -2.337
# Rotatable Bonds:  1
TPSA:  56.51
# H-Bond Aceptor:  4
# H-Bond Donor:  0
# Rings:  3
# Heavy Atoms:  4

MedChem Properties

QED Drug-Likeness Score:  0.73
Synthetic Accessibility Score:  4.37
Fsp3:  0.6
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:  -4.706
MDCK Permeability:  2.8904732971568592e-05
Pgp-inhibitor:  0.002
Pgp-substrate:  0.004
Human Intestinal Absorption (HIA):  0.005
20% Bioavailability (F20%):  0.003
30% Bioavailability (F30%):  0.007

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.743
Plasma Protein Binding (PPB):  85.44434356689453%
Volume Distribution (VD):  2.137
Pgp-substrate:  24.899417877197266%

ADMET: Metabolism

CYP1A2-inhibitor:  0.12
CYP1A2-substrate:  0.279
CYP2C19-inhibitor:  0.339
CYP2C19-substrate:  0.476
CYP2C9-inhibitor:  0.241
CYP2C9-substrate:  0.062
CYP2D6-inhibitor:  0.011
CYP2D6-substrate:  0.214
CYP3A4-inhibitor:  0.549
CYP3A4-substrate:  0.266

ADMET: Excretion

Clearance (CL):  11.674
Half-life (T1/2):  0.372

ADMET: Toxicity

hERG Blockers:  0.063
Human Hepatotoxicity (H-HT):  0.791
Drug-inuced Liver Injury (DILI):  0.912
AMES Toxicity:  0.037
Rat Oral Acute Toxicity:  0.958
Maximum Recommended Daily Dose:  0.499
Skin Sensitization:  0.069
Carcinogencity:  0.336
Eye Corrosion:  0.91
Eye Irritation:  0.392
Respiratory Toxicity:  0.975

Download Data

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

  Natural Product: NPC215136

Natural Product ID:  NPC215136
Common Name*:   URRUSDHNWZECKY-ORZNMBHWSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  URRUSDHNWZECKY-ORZNMBHWSA-N
Standard InCHI:  InChI=1S/C20H34O/c1-14-7-8-17-19(4,15(14)13-21)12-9-16-18(2,3)10-6-11-20(16,17)5/h7,15-17,21H,6,8-13H2,1-5H3/t15-,16+,17+,19+,20+/m1/s1
SMILES:  CC1=CC[C@H]2[C@@](C)(CC[C@H]3C(C)(C)CCC[C@]23C)[C@@H]1CO
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   11449168
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0002550] Isocopalane and spongiane 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
NPO23848 Podophyllum peltatum Species Berberidaceae Eukaryota n.a. n.a. n.a. PMID[16933860]
NPO23895 Machilus wangchiana Species Lauraceae Eukaryota bark n.a. n.a. PMID[19916529]
NPO17254 Streptomyces anulatus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[23423168]
NPO28907 Sonchus arvensis Species Asteraceae Eukaryota n.a The rural area of Viçosa, State of Minas Gerais (MG), Brazil Adult stage PMID[35282307]
NPO23848 Podophyllum peltatum Species Berberidaceae Eukaryota n.a. root n.a. Database[Article]
NPO23848 Podophyllum peltatum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28907 Sonchus arvensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23848 Podophyllum peltatum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28907 Sonchus arvensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28907 Sonchus arvensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23848 Podophyllum peltatum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23895 Machilus wangchiana Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17254 Streptomyces anulatus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO28907 Sonchus arvensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23848 Podophyllum peltatum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26054 Palmaria palmata Species Palmariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14410 Doris odhneri Species Dorididae 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 NPC215136 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 NPC215136 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