Structure

Physi-Chem Properties

Molecular Weight:  384.34
Volume:  444.84
LogP:  7.289
LogD:  6.44
LogS:  -6.415
# Rotatable Bonds:  4
TPSA:  17.07
# H-Bond Aceptor:  1
# H-Bond Donor:  0
# Rings:  4
# Heavy Atoms:  1

MedChem Properties

QED Drug-Likeness Score:  0.46
Synthetic Accessibility Score:  4.391
Fsp3:  0.889
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:  -4.662
MDCK Permeability:  1.3270014278532472e-05
Pgp-inhibitor:  0.983
Pgp-substrate:  0.017
Human Intestinal Absorption (HIA):  0.009
20% Bioavailability (F20%):  0.98
30% Bioavailability (F30%):  0.985

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.464
Plasma Protein Binding (PPB):  94.67638397216797%
Volume Distribution (VD):  1.358
Pgp-substrate:  1.565835952758789%

ADMET: Metabolism

CYP1A2-inhibitor:  0.168
CYP1A2-substrate:  0.281
CYP2C19-inhibitor:  0.208
CYP2C19-substrate:  0.836
CYP2C9-inhibitor:  0.446
CYP2C9-substrate:  0.214
CYP2D6-inhibitor:  0.067
CYP2D6-substrate:  0.423
CYP3A4-inhibitor:  0.618
CYP3A4-substrate:  0.358

ADMET: Excretion

Clearance (CL):  5.654
Half-life (T1/2):  0.23

ADMET: Toxicity

hERG Blockers:  0.962
Human Hepatotoxicity (H-HT):  0.413
Drug-inuced Liver Injury (DILI):  0.798
AMES Toxicity:  0.008
Rat Oral Acute Toxicity:  0.156
Maximum Recommended Daily Dose:  0.843
Skin Sensitization:  0.952
Carcinogencity:  0.243
Eye Corrosion:  0.624
Eye Irritation:  0.643
Respiratory Toxicity:  0.971

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

  Natural Product: NPC248549

Natural Product ID:  NPC248549
Common Name*:   UPYVDXJUKQUZDF-XEIIVKPRSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  UPYVDXJUKQUZDF-XEIIVKPRSA-N
Standard InCHI:  InChI=1S/C27H44O/c1-18(2)7-6-8-19(3)23-11-12-24-22-10-9-20-17-21(28)13-15-26(20,4)25(22)14-16-27(23,24)5/h6,8,18-20,22-25H,7,9-17H2,1-5H3/b8-6+/t19-,20-,22-,23+,24-,25-,26-,27+/m0/s1
SMILES:  CC(C)C/C=C/[C@H](C)[C@H]1CC[C@H]2[C@@H]3CC[C@H]4CC(=O)CC[C@]4(C)[C@H]3CC[C@]12C
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
        • [CHEMONTID:0003566] Cholestane steroids
          • [CHEMONTID:0001469] Cholesterols and 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
NPO9918 Methylococcus capsulatus Species Methylococcaceae Bacteria n.a. n.a. n.a. PMID[22826256]
NPO10992 Cystobacter fuscus Species Archangiaceae Bacteria n.a. n.a. n.a. PMID[9589062]
NPO6472 Elsholtzia densa Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2232 Licania pyrifolia Species Chrysobalanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5488 Herniaria glabra Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8959 Lippia helleri Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1636 Glochidion hohenackeri Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8765 Lemna paucicostata Species Araceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4310 Garuleum pinnatifidum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10992 Cystobacter fuscus Species Archangiaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO9764 Artemisina apollinis Species Microcionidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9568 Teichaxinella morchella n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO9918 Methylococcus capsulatus Species Methylococcaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO5875 Populus euphratica Species Salicaceae 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 NPC248549 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 NPC248549 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