Structure

Physi-Chem Properties

Molecular Weight:  390.18
Volume:  424.083
LogP:  6.156
LogD:  4.235
LogS:  -3.938
# Rotatable Bonds:  6
TPSA:  66.76
# H-Bond Aceptor:  4
# H-Bond Donor:  2
# Rings:  3
# Heavy Atoms:  4

MedChem Properties

QED Drug-Likeness Score:  0.366
Synthetic Accessibility Score:  3.352
Fsp3:  0.24
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
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:  -4.79
MDCK Permeability:  2.0517716620815918e-05
Pgp-inhibitor:  0.724
Pgp-substrate:  0.004
Human Intestinal Absorption (HIA):  0.005
20% Bioavailability (F20%):  0.004
30% Bioavailability (F30%):  0.043

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.018
Plasma Protein Binding (PPB):  101.89554595947266%
Volume Distribution (VD):  0.816
Pgp-substrate:  1.2917128801345825%

ADMET: Metabolism

CYP1A2-inhibitor:  0.959
CYP1A2-substrate:  0.164
CYP2C19-inhibitor:  0.93
CYP2C19-substrate:  0.126
CYP2C9-inhibitor:  0.873
CYP2C9-substrate:  0.938
CYP2D6-inhibitor:  0.948
CYP2D6-substrate:  0.321
CYP3A4-inhibitor:  0.855
CYP3A4-substrate:  0.228

ADMET: Excretion

Clearance (CL):  13.638
Half-life (T1/2):  0.235

ADMET: Toxicity

hERG Blockers:  0.576
Human Hepatotoxicity (H-HT):  0.906
Drug-inuced Liver Injury (DILI):  0.327
AMES Toxicity:  0.586
Rat Oral Acute Toxicity:  0.763
Maximum Recommended Daily Dose:  0.823
Skin Sensitization:  0.95
Carcinogencity:  0.744
Eye Corrosion:  0.003
Eye Irritation:  0.26
Respiratory Toxicity:  0.867

Download Data

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

  Natural Product: NPC124010

Natural Product ID:  NPC124010
Common Name*:   PTLYOYNZZDSYSJ-ZQDAFOGCSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  PTLYOYNZZDSYSJ-ZQDAFOGCSA-N
Standard InCHI:  InChI=1S/C25H26O4/c1-17(2)5-4-15-25(3)16-14-21-23(29-25)13-11-20(24(21)28)22(27)12-8-18-6-9-19(26)10-7-18/h5-14,16,26,28H,4,15H2,1-3H3/b12-8+/t25-/m0/s1
SMILES:  CC(=CCC[C@@]1(C)C=Cc2c(ccc(C(=O)/C=C/c3ccc(cc3)O)c2O)O1)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   101505024
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0003467] Linear 1,3-diarylpropanoids
        • [CHEMONTID:0001630] Chalcones and dihydrochalcones
          • [CHEMONTID:0003472] 2'-Hydroxychalcones

*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
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota n.a. root n.a. PMID[21954959]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota roots Whitessence Srl, Viterbo, Italy 2005-OCT PMID[21954959]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota n.a. seed n.a. PMID[23497864]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds LanZhou, GanSu, China early autumn (from August to the beginning of September PMID[32545196]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds DingXi, GanSu, China early autumn (from August to the beginning of September PMID[32545196]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 60 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 10 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 70 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 20 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 80 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 30 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 90 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 40 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China Maturation PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 50 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 60 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 70 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 80 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 90 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China Maturation PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 10 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 20 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 30 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 40 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 50 days after pollination PMID[33131958]
NPO12131 Salvia calycina Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10080 Teucrium betonicum Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15554 Eucalyptus amplifolia Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14309 Desmodium tortuosum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14430 Grateloupia carnosa Species Halymeniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7819.1 Epichloe festucae var. lolii Varieties Clavicipitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14058 Papaver pavoninum Species Papaveraceae 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 NPC124010 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 NPC124010 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