Structure

Physi-Chem Properties

Molecular Weight:  324.14
Volume:  342.876
LogP:  5.191
LogD:  3.682
LogS:  -3.61
# Rotatable Bonds:  3
TPSA:  66.76
# H-Bond Aceptor:  4
# H-Bond Donor:  2
# Rings:  3
# Heavy Atoms:  4

MedChem Properties

QED Drug-Likeness Score:  0.826
Synthetic Accessibility Score:  3.09
Fsp3:  0.25
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.696
MDCK Permeability:  1.7832064258982427e-05
Pgp-inhibitor:  0.091
Pgp-substrate:  0.002
Human Intestinal Absorption (HIA):  0.004
20% Bioavailability (F20%):  0.533
30% Bioavailability (F30%):  0.265

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.079
Plasma Protein Binding (PPB):  98.80037689208984%
Volume Distribution (VD):  0.847
Pgp-substrate:  1.6645680665969849%

ADMET: Metabolism

CYP1A2-inhibitor:  0.839
CYP1A2-substrate:  0.343
CYP2C19-inhibitor:  0.956
CYP2C19-substrate:  0.104
CYP2C9-inhibitor:  0.924
CYP2C9-substrate:  0.94
CYP2D6-inhibitor:  0.881
CYP2D6-substrate:  0.448
CYP3A4-inhibitor:  0.51
CYP3A4-substrate:  0.166

ADMET: Excretion

Clearance (CL):  12.971
Half-life (T1/2):  0.167

ADMET: Toxicity

hERG Blockers:  0.057
Human Hepatotoxicity (H-HT):  0.797
Drug-inuced Liver Injury (DILI):  0.857
AMES Toxicity:  0.158
Rat Oral Acute Toxicity:  0.846
Maximum Recommended Daily Dose:  0.853
Skin Sensitization:  0.854
Carcinogencity:  0.264
Eye Corrosion:  0.003
Eye Irritation:  0.838
Respiratory Toxicity:  0.858

Download Data

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

  Natural Product: NPC41943

Natural Product ID:  NPC41943
Common Name*:   DAPLORBFRRJHHY-ODZGBWFKSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  DAPLORBFRRJHHY-ODZGBWFKSA-N
Standard InCHI:  InChI=1S/C50H88O7/c1-8-9-10-11-12-13-14-15-16-17-18-19-20-21-44(51)55-33-43-45(52)46(53)47(54)48(57-43)56-38-28-30-49(6)37(32-38)24-25-39-41-27-26-40(50(41,7)31-29-42(39)49)36(5)23-22-35(4)34(2)3/h24,34-36,38-43,45-48,52-54H,8-23,25-33H2,1-7H3/t35-,36+,38-,39-,40+,41-,42-,43+,45+,46-,47+,48+,49-,50+/m0/s1
SMILES:  CCCCCCCCCCCCCCCC(=O)OC[C@@H]1[C@H]([C@@H]([C@H]([C@H](O[C@H]2CC[C@@]3(C)C(=CC[C@H]4[C@@H]5CC[C@H]([C@H](C)CC[C@H](C)C(C)C)[C@@]5(C)CC[C@H]34)C2)O1)O)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   13051627
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides

*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
NPO12525 Eriosema chinense Species Fabaceae Eukaryota Roots n.a. n.a. PMID[19555123]
NPO26763 Rhododendron micranthum Species Ericaceae Eukaryota Leaves n.a. n.a. PMID[30452260]
NPO7049 Trichocolea tomentella Species Trichocoleaceae Eukaryota n.a. n.a. n.a. PMID[8792619]
NPO26763 Rhododendron micranthum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8133 Woodwardia orientalis Species Blechnaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26763 Rhododendron micranthum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8133 Woodwardia orientalis Species Blechnaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8133 Woodwardia orientalis Species Blechnaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO26763 Rhododendron micranthum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO5287 Strychnos cathayensis Species Loganiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7049 Trichocolea tomentella Species Trichocoleaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12525 Eriosema chinense Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26763 Rhododendron micranthum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8133 Woodwardia orientalis Species Blechnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9572 Myrtopsis sellingii Species Rutaceae 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 NPC41943 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 NPC41943 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