Structure

Physi-Chem Properties

Molecular Weight:  450.37
Volume:  493.779
LogP:  5.353
LogD:  5.07
LogS:  -5.122
# Rotatable Bonds:  5
TPSA:  80.92
# H-Bond Aceptor:  4
# H-Bond Donor:  4
# Rings:  4
# Heavy Atoms:  4

MedChem Properties

QED Drug-Likeness Score:  0.492
Synthetic Accessibility Score:  4.829
Fsp3:  1.0
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
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:  -4.841
MDCK Permeability:  1.7316060620942153e-05
Pgp-inhibitor:  0.996
Pgp-substrate:  0.984
Human Intestinal Absorption (HIA):  0.033
20% Bioavailability (F20%):  0.987
30% Bioavailability (F30%):  0.941

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.061
Plasma Protein Binding (PPB):  94.86957550048828%
Volume Distribution (VD):  0.906
Pgp-substrate:  1.7874464988708496%

ADMET: Metabolism

CYP1A2-inhibitor:  0.109
CYP1A2-substrate:  0.268
CYP2C19-inhibitor:  0.012
CYP2C19-substrate:  0.793
CYP2C9-inhibitor:  0.038
CYP2C9-substrate:  0.097
CYP2D6-inhibitor:  0.003
CYP2D6-substrate:  0.078
CYP3A4-inhibitor:  0.19
CYP3A4-substrate:  0.197

ADMET: Excretion

Clearance (CL):  12.912
Half-life (T1/2):  0.375

ADMET: Toxicity

hERG Blockers:  0.711
Human Hepatotoxicity (H-HT):  0.193
Drug-inuced Liver Injury (DILI):  0.769
AMES Toxicity:  0.028
Rat Oral Acute Toxicity:  0.444
Maximum Recommended Daily Dose:  0.015
Skin Sensitization:  0.949
Carcinogencity:  0.332
Eye Corrosion:  0.963
Eye Irritation:  0.132
Respiratory Toxicity:  0.96

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

  Natural Product: NPC55247

Natural Product ID:  NPC55247
Common Name*:   VXBLCLVRWCLEOX-BFYSZXNBSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  VXBLCLVRWCLEOX-BFYSZXNBSA-N
Standard InCHI:  InChI=1S/C28H50O4/c1-15(2)16(3)25(31)26(32)17(4)20-9-10-21-19-8-7-18-13-23(29)24(30)14-28(18,6)22(19)11-12-27(20,21)5/h15-26,29-32H,7-14H2,1-6H3/t16-,17-,18-,19-,20+,21-,22-,23-,24+,25+,26+,27+,28-/m0/s1
SMILES:  CC(C)[C@H](C)[C@H]([C@@H]([C@@H](C)[C@H]1CC[C@H]2[C@@H]3CC[C@H]4C[C@@H]([C@@H](C[C@]4(C)[C@H]3CC[C@]12C)O)O)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   13870433
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001445] Bile acids, alcohols and derivatives
          • [CHEMONTID:0002194] Hydroxy bile acids, alcohols and derivatives
            • [CHEMONTID:0001110] Tetrahydroxy bile acids, alcohols 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
NPO7904 Ganoderma applanatum Species Polyporaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/S0031-9422(00)91122-1]
NPO88 Rheum undulatum Species Polygonaceae Eukaryota rhizome n.a. n.a. PMID[10714491]
NPO7904 Ganoderma applanatum Species Polyporaceae Eukaryota n.a. Sri Lankan n.a. PMID[16933889]
NPO5105 Lagenaria siceraria Species Cucurbitaceae Eukaryota n.a. stem n.a. PMID[18310955]
NPO1533 Corynespora cassiicola Species Corynesporascaceae Eukaryota n.a. Xisha Islands coral reef in the South China Sea 2009-DEC PMID[25594263]
NPO1533 Corynespora cassiicola Species Corynesporascaceae Eukaryota n.a. n.a. n.a. PMID[25594263]
NPO7904 Ganoderma applanatum Species Polyporaceae Eukaryota n.a. n.a. n.a. PMID[27996259]
NPO5105 Lagenaria siceraria Species Cucurbitaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO5105 Lagenaria siceraria Species Cucurbitaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO5105 Lagenaria siceraria Species Cucurbitaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO5105 Lagenaria siceraria Species Cucurbitaceae Eukaryota n.a. n.a. Database[FooDB]
NPO6454 Delphinium tatsienense Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4947 Tagetes minuta Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4947 Tagetes minuta Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5314 Sargassum parvivesiculosum Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6454 Delphinium tatsienense Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7904 Ganoderma applanatum Species Polyporaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6454 Delphinium tatsienense Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO5105 Lagenaria siceraria Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO7904 Ganoderma applanatum Species Polyporaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO88 Rheum undulatum Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO1533 Corynespora cassiicola Species Corynesporascaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2553 Adenocarpus commutatus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4947 Tagetes minuta Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5403 Fagus menziesii Species Fagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO88 Rheum undulatum Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8197 Scrophularia deserti Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16088 Streptomyces scabiei Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO2247 Iphiona scabra Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6454 Delphinium tatsienense Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7759 Penicillium nalgiovensis Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO421 Polygonum maritimum Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23693 Alseodaphne semecarpifolia Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4112 Ficus fistulosa Species Moraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7904 Ganoderma applanatum Species Polyporaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5260 Osteospermum thodei Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5105 Lagenaria siceraria Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7604 Viguiera lanceolata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3111 Daphnandra micrantha Species Atherospermataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5314 Sargassum parvivesiculosum Species Sargassaceae 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 NPC55247 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 NPC55247 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