Structure

Physi-Chem Properties

Molecular Weight:  498.21
Volume:  469.661
LogP:  0.74
LogD:  -0.13
LogS:  -3.422
# Rotatable Bonds:  4
TPSA:  169.05
# H-Bond Aceptor:  11
# H-Bond Donor:  4
# Rings:  5
# Heavy Atoms:  11

MedChem Properties

QED Drug-Likeness Score:  0.339
Synthetic Accessibility Score:  6.577
Fsp3:  0.875
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:  -5.571
MDCK Permeability:  0.0001117341234930791
Pgp-inhibitor:  0.016
Pgp-substrate:  0.999
Human Intestinal Absorption (HIA):  0.819
20% Bioavailability (F20%):  0.984
30% Bioavailability (F30%):  0.99

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.087
Plasma Protein Binding (PPB):  27.081787109375%
Volume Distribution (VD):  0.612
Pgp-substrate:  60.68463134765625%

ADMET: Metabolism

CYP1A2-inhibitor:  0.001
CYP1A2-substrate:  0.112
CYP2C19-inhibitor:  0.005
CYP2C19-substrate:  0.688
CYP2C9-inhibitor:  0.002
CYP2C9-substrate:  0.005
CYP2D6-inhibitor:  0.005
CYP2D6-substrate:  0.058
CYP3A4-inhibitor:  0.041
CYP3A4-substrate:  0.212

ADMET: Excretion

Clearance (CL):  1.875
Half-life (T1/2):  0.754

ADMET: Toxicity

hERG Blockers:  0.48
Human Hepatotoxicity (H-HT):  0.965
Drug-inuced Liver Injury (DILI):  0.773
AMES Toxicity:  0.149
Rat Oral Acute Toxicity:  0.951
Maximum Recommended Daily Dose:  0.986
Skin Sensitization:  0.405
Carcinogencity:  0.057
Eye Corrosion:  0.003
Eye Irritation:  0.013
Respiratory Toxicity:  0.972

Download Data

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

  Natural Product: NPC97953

Natural Product ID:  NPC97953
Common Name*:   RFSLPOAJKCLJFP-LXKJXWLBSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  RFSLPOAJKCLJFP-LXKJXWLBSA-N
Standard InCHI:  InChI=1S/C24H34O11/c1-10(25)34-14-7-15-23(9-32-15,35-11(2)26)17-16(28)12-6-13(27)22(5)24(31,20(12,3)8-33-22)19(30)18(29)21(14,17)4/h12-17,19,27-28,30-31H,6-9H2,1-5H3/t12-,13-,14-,15+,16+,17-,19-,20-,21+,22+,23-,24-/m0/s1
SMILES:  CC(=O)O[C@H]1C[C@@H]2[C@@](CO2)([C@H]2[C@@H]([C@@H]3C[C@@H]([C@]4(C)[C@]([C@H](C(=O)[C@]12C)O)([C@@]3(C)CO4)O)O)O)OC(=O)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0001729] Oxepanes

*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
NPO11132 Alangium longiflorum Species Cornaceae Eukaryota n.a. n.a. n.a. PMID[30106296]
NPO10084 Equisetum hyemale Species Equisetaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15125.1 Taxus wallichiana var. chinensis Varieties Taxaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27451 Ophiocordyceps sinensis Species Ophiocordycipitaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10084 Equisetum hyemale Species Equisetaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO27451 Ophiocordyceps sinensis Species Ophiocordycipitaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO563 Leucopaxillus cerealis Species Tricholomataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11132 Alangium longiflorum Species Cornaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10487 Rosa americana Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10953 Papaver strigosum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27451 Ophiocordyceps sinensis Species Ophiocordycipitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22296 Rheum tataricum Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15125.1 Taxus wallichiana var. chinensis Varieties Taxaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10084 Equisetum hyemale Species Equisetaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11819 Trichophyton megnini Species Arthrodermataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7785 Boletus fomentarius Species Boletaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12272 Calceolaria petiolaris Species Calceolariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21703 Maianthemum atropurpureum Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12615 Athrotaxis selaginoides Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11936 Ptilocaulis walpersi Species Axinellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3362 Dictyostelium mucoroides Species n.a. 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 NPC97953 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 NPC97953 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