Structure

Physi-Chem Properties

Molecular Weight:  428.37
Volume:  488.222
LogP:  6.552
LogD:  5.51
LogS:  -6.085
# Rotatable Bonds:  5
TPSA:  37.3
# H-Bond Aceptor:  2
# H-Bond Donor:  1
# Rings:  4
# Heavy Atoms:  2

MedChem Properties

QED Drug-Likeness Score:  0.47
Synthetic Accessibility Score:  4.667
Fsp3:  0.897
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:  -4.697
MDCK Permeability:  1.0852602827071678e-05
Pgp-inhibitor:  0.936
Pgp-substrate:  0.001
Human Intestinal Absorption (HIA):  0.003
20% Bioavailability (F20%):  0.989
30% Bioavailability (F30%):  0.903

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.246
Plasma Protein Binding (PPB):  95.3478012084961%
Volume Distribution (VD):  1.367
Pgp-substrate:  1.3635377883911133%

ADMET: Metabolism

CYP1A2-inhibitor:  0.073
CYP1A2-substrate:  0.539
CYP2C19-inhibitor:  0.112
CYP2C19-substrate:  0.957
CYP2C9-inhibitor:  0.269
CYP2C9-substrate:  0.198
CYP2D6-inhibitor:  0.031
CYP2D6-substrate:  0.798
CYP3A4-inhibitor:  0.814
CYP3A4-substrate:  0.783

ADMET: Excretion

Clearance (CL):  7.35
Half-life (T1/2):  0.108

ADMET: Toxicity

hERG Blockers:  0.738
Human Hepatotoxicity (H-HT):  0.303
Drug-inuced Liver Injury (DILI):  0.443
AMES Toxicity:  0.01
Rat Oral Acute Toxicity:  0.467
Maximum Recommended Daily Dose:  0.084
Skin Sensitization:  0.506
Carcinogencity:  0.368
Eye Corrosion:  0.271
Eye Irritation:  0.084
Respiratory Toxicity:  0.98

Download Data

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

  Natural Product: NPC79522

Natural Product ID:  NPC79522
Common Name*:   KXHHHBICYOMCON-HELIWFEESA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  KXHHHBICYOMCON-HELIWFEESA-N
Standard InCHI:  InChI=1S/C29H48O2/c1-18(2)25(30)11-8-19(3)21-12-16-29(7)24-10-9-22-20(4)26(31)14-15-27(22,5)23(24)13-17-28(21,29)6/h10,18-23,26,31H,8-9,11-17H2,1-7H3/t19-,20+,21-,22+,23-,26+,27+,28-,29+/m1/s1
SMILES:  CC(C)C(=O)CC[C@@H](C)[C@H]1CC[C@@]2(C)C3=CC[C@H]4[C@H](C)[C@H](CC[C@]4(C)[C@@H]3CC[C@]12C)O
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:0001445] Bile acids, alcohols and derivatives
          • [CHEMONTID:0002194] Hydroxy bile acids, alcohols and derivatives
            • [CHEMONTID:0000260] Monohydroxy 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
NPO7132 Smilax glabra Species Smilacaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7132 Smilax glabra Species Smilacaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4789 Adiantum caudatum Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4095 Hedysarum multijugum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7132 Smilax glabra Species Smilacaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO4789 Adiantum caudatum Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO7132 Smilax glabra Species Smilacaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO6988 Diploschistes cretaceus Species Graphidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6815 Streptomyces sclerotialus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO4789 Adiantum caudatum Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4095 Hedysarum multijugum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8037 Bryum rutilans Species Bryaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7132 Smilax glabra Species Smilacaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6429 Phlomis regelii Species Lamiaceae 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 NPC79522 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 NPC79522 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