Structure

Physi-Chem Properties

Molecular Weight:  456.29
Volume:  471.627
LogP:  3.766
LogD:  3.391
LogS:  -4.918
# Rotatable Bonds:  0
TPSA:  79.29
# H-Bond Aceptor:  5
# H-Bond Donor:  2
# Rings:  7
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.325
Synthetic Accessibility Score:  6.664
Fsp3:  0.893
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:  -5.233
MDCK Permeability:  2.2422802430810407e-05
Pgp-inhibitor:  0.003
Pgp-substrate:  0.001
Human Intestinal Absorption (HIA):  0.004
20% Bioavailability (F20%):  0.082
30% Bioavailability (F30%):  0.443

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.88
Plasma Protein Binding (PPB):  74.38813781738281%
Volume Distribution (VD):  1.095
Pgp-substrate:  21.365543365478516%

ADMET: Metabolism

CYP1A2-inhibitor:  0.01
CYP1A2-substrate:  0.615
CYP2C19-inhibitor:  0.025
CYP2C19-substrate:  0.726
CYP2C9-inhibitor:  0.071
CYP2C9-substrate:  0.045
CYP2D6-inhibitor:  0.004
CYP2D6-substrate:  0.197
CYP3A4-inhibitor:  0.747
CYP3A4-substrate:  0.253

ADMET: Excretion

Clearance (CL):  5.218
Half-life (T1/2):  0.129

ADMET: Toxicity

hERG Blockers:  0.728
Human Hepatotoxicity (H-HT):  0.738
Drug-inuced Liver Injury (DILI):  0.027
AMES Toxicity:  0.007
Rat Oral Acute Toxicity:  0.97
Maximum Recommended Daily Dose:  0.923
Skin Sensitization:  0.191
Carcinogencity:  0.21
Eye Corrosion:  0.016
Eye Irritation:  0.025
Respiratory Toxicity:  0.984

Download Data

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

  Natural Product: NPC121973

Natural Product ID:  NPC121973
Common Name*:   SZILVBCYKIZRPO-MOBNGVPASA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  SZILVBCYKIZRPO-MOBNGVPASA-N
Standard InCHI:  InChI=1S/C28H40O5/c1-15-6-11-27-13-12-25(4)24(3)10-7-16-23(2,9-8-18(29)26(16,5)31)20(24)19-21(32-19)28(25,17(27)14-15)33-22(27)30/h16-21,29,31H,1,6-14H2,2-5H3/t16-,17-,18+,19+,20-,21+,23+,24-,25+,26-,27+,28-/m1/s1
SMILES:  C=C1CC[C@]23CC[C@@]4(C)[C@]5(C)CC[C@@H]6[C@](C)(CC[C@@H]([C@]6(C)O)O)[C@H]5[C@H]5[C@@H]([C@@]4([C@@H]2C1)OC3=O)O5
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   56601458
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000050] Lactones
        • [CHEMONTID:0001245] Gamma butyrolactones

*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 DingXi, GanSu, China early autumn (from August to the beginning of September PMID[32545196]
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 Yangling, Shaanxi, China 90 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 Maturation PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 40 days after pollination 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]
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 Seeds Yangling, Shaanxi, China 80 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 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 NPC121973 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 NPC121973 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