Structure

Physi-Chem Properties

Molecular Weight:  412.33
Volume:  468.289
LogP:  6.892
LogD:  5.892
LogS:  -6.83
# Rotatable Bonds:  5
TPSA:  26.3
# H-Bond Aceptor:  2
# H-Bond Donor:  0
# Rings:  4
# Heavy Atoms:  2

MedChem Properties

QED Drug-Likeness Score:  0.356
Synthetic Accessibility Score:  4.415
Fsp3:  0.821
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.672
MDCK Permeability:  4.759447256219573e-05
Pgp-inhibitor:  0.539
Pgp-substrate:  0.001
Human Intestinal Absorption (HIA):  0.005
20% Bioavailability (F20%):  0.456
30% Bioavailability (F30%):  0.318

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.009
Plasma Protein Binding (PPB):  89.2948989868164%
Volume Distribution (VD):  1.346
Pgp-substrate:  1.5673246383666992%

ADMET: Metabolism

CYP1A2-inhibitor:  0.062
CYP1A2-substrate:  0.268
CYP2C19-inhibitor:  0.178
CYP2C19-substrate:  0.914
CYP2C9-inhibitor:  0.26
CYP2C9-substrate:  0.709
CYP2D6-inhibitor:  0.105
CYP2D6-substrate:  0.818
CYP3A4-inhibitor:  0.765
CYP3A4-substrate:  0.533

ADMET: Excretion

Clearance (CL):  2.72
Half-life (T1/2):  0.084

ADMET: Toxicity

hERG Blockers:  0.012
Human Hepatotoxicity (H-HT):  0.298
Drug-inuced Liver Injury (DILI):  0.774
AMES Toxicity:  0.005
Rat Oral Acute Toxicity:  0.063
Maximum Recommended Daily Dose:  0.944
Skin Sensitization:  0.819
Carcinogencity:  0.027
Eye Corrosion:  0.045
Eye Irritation:  0.248
Respiratory Toxicity:  0.405

Download Data

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

  Natural Product: NPC311816

Natural Product ID:  NPC311816
Common Name*:   HJWVRQICRBWPME-DULMFAGHSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  HJWVRQICRBWPME-DULMFAGHSA-N
Standard InCHI:  InChI=1S/C28H44O2/c1-18(2)7-8-19(3)24-11-12-25-23-10-9-21-17-22(30-20(4)29)13-15-27(21,5)26(23)14-16-28(24,25)6/h7-9,18-19,22-26H,10-17H2,1-6H3/b8-7+/t19-,22-,23+,24+,25+,26+,27-,28+/m0/s1
SMILES:  CC(C)/C=C/[C@H](C)[C@H]1CC[C@@H]2[C@H]3CC=C4C[C@H](CC[C@]4(C)[C@@H]3CC[C@]12C)OC(=O)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives

*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
NPO18007 Agrimonia pilosa Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[22281186]
NPO21305 Carpesium macrocephalum Species Asteraceae Eukaryota Whole Plant n.a. n.a. PMID[26394911]
NPO18007 Agrimonia pilosa Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[27588326]
NPO14041 Dendrobium findlayanum Species Orchidaceae Eukaryota n.a. n.a. n.a. PMID[29338260]
NPO18007 Agrimonia pilosa Species Rosaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14041 Dendrobium findlayanum Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18007 Agrimonia pilosa Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22452 Leucanthemum vulgare Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18007 Agrimonia pilosa Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO18007 Agrimonia pilosa Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO21305 Carpesium macrocephalum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14041 Dendrobium findlayanum Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22452 Leucanthemum vulgare Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18007 Agrimonia pilosa Species Rosaceae 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 NPC311816 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 NPC311816 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