Structure

Physi-Chem Properties

Molecular Weight:  442.38
Volume:  499.598
LogP:  6.335
LogD:  5.03
LogS:  -6.002
# Rotatable Bonds:  1
TPSA:  40.46
# H-Bond Aceptor:  2
# H-Bond Donor:  2
# Rings:  5
# Heavy Atoms:  2

MedChem Properties

QED Drug-Likeness Score:  0.424
Synthetic Accessibility Score:  4.749
Fsp3:  0.933
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:  -4.95
MDCK Permeability:  9.890924047795124e-06
Pgp-inhibitor:  0.003
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.005
20% Bioavailability (F20%):  0.821
30% Bioavailability (F30%):  0.769

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.079
Plasma Protein Binding (PPB):  98.26282501220703%
Volume Distribution (VD):  1.185
Pgp-substrate:  1.7475436925888062%

ADMET: Metabolism

CYP1A2-inhibitor:  0.038
CYP1A2-substrate:  0.316
CYP2C19-inhibitor:  0.073
CYP2C19-substrate:  0.89
CYP2C9-inhibitor:  0.199
CYP2C9-substrate:  0.548
CYP2D6-inhibitor:  0.041
CYP2D6-substrate:  0.784
CYP3A4-inhibitor:  0.377
CYP3A4-substrate:  0.294

ADMET: Excretion

Clearance (CL):  4.854
Half-life (T1/2):  0.099

ADMET: Toxicity

hERG Blockers:  0.068
Human Hepatotoxicity (H-HT):  0.147
Drug-inuced Liver Injury (DILI):  0.012
AMES Toxicity:  0.006
Rat Oral Acute Toxicity:  0.08
Maximum Recommended Daily Dose:  0.935
Skin Sensitization:  0.824
Carcinogencity:  0.007
Eye Corrosion:  0.081
Eye Irritation:  0.791
Respiratory Toxicity:  0.937

Download Data

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

  Natural Product: NPC98759

Natural Product ID:  NPC98759
Common Name*:   VKFYBVXBUHHZMW-CWLHSXRESA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  VKFYBVXBUHHZMW-CWLHSXRESA-N
Standard InCHI:  InChI=1S/C30H50O2/c1-25(2)14-15-27(5)16-17-30(19-31)20(21(27)18-25)8-9-23-28(6)12-11-24(32)26(3,4)22(28)10-13-29(23,30)7/h8,21-24,31-32H,9-19H2,1-7H3/t21-,22-,23-,24+,27+,28-,29+,30-/m0/s1
SMILES:  CC1(C)CC[C@]2(C)CC[C@]3(CO)C(=CC[C@H]4[C@@]5(C)CC[C@H](C(C)(C)[C@@H]5CC[C@@]34C)O)[C@@H]2C1
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:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

*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
NPO17030 Calvatia lilacina Species Lycoperdaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO16377 Juniperus ashei Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18768 Haliclona tubifera Species Chalinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6746 Blighia welwitschii Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17373.1 Cunninghamia lanceolata var. konishii Varieties Cupressaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17707 Dioscorea villosa Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3446 Acanthaster planci Species Acanthasteridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18031 Russula vesca Species Russulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16254 Backhousia angustifolia Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15966 Sassafras officinalis Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23695 Setosphaeria turcica Species Pleosporaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17030 Calvatia lilacina Species Lycoperdaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3990 Acacia salicina Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10438 Tanacetum nubigenum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2591 Io fluvialis Species Pleuroceridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9524 Kalanchoe blossfeldiana Species Crassulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13182 Achillea wilhelmsii Species Asteraceae 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 NPC98759 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 NPC98759 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