Structure

Physi-Chem Properties

Molecular Weight:  428.4
Volume:  499.364
LogP:  7.801
LogD:  6.448
LogS:  -6.579
# Rotatable Bonds:  4
TPSA:  20.23
# H-Bond Aceptor:  1
# H-Bond Donor:  1
# Rings:  4
# Heavy Atoms:  1

MedChem Properties

QED Drug-Likeness Score:  0.448
Synthetic Accessibility Score:  4.738
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:  -4.736
MDCK Permeability:  7.633166205778252e-06
Pgp-inhibitor:  0.992
Pgp-substrate:  0.023
Human Intestinal Absorption (HIA):  0.011
20% Bioavailability (F20%):  0.999
30% Bioavailability (F30%):  0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.293
Plasma Protein Binding (PPB):  91.3625259399414%
Volume Distribution (VD):  2.316
Pgp-substrate:  1.4555737972259521%

ADMET: Metabolism

CYP1A2-inhibitor:  0.19
CYP1A2-substrate:  0.594
CYP2C19-inhibitor:  0.105
CYP2C19-substrate:  0.929
CYP2C9-inhibitor:  0.209
CYP2C9-substrate:  0.073
CYP2D6-inhibitor:  0.15
CYP2D6-substrate:  0.135
CYP3A4-inhibitor:  0.792
CYP3A4-substrate:  0.855

ADMET: Excretion

Clearance (CL):  8.141
Half-life (T1/2):  0.026

ADMET: Toxicity

hERG Blockers:  0.519
Human Hepatotoxicity (H-HT):  0.17
Drug-inuced Liver Injury (DILI):  0.821
AMES Toxicity:  0.006
Rat Oral Acute Toxicity:  0.385
Maximum Recommended Daily Dose:  0.024
Skin Sensitization:  0.951
Carcinogencity:  0.056
Eye Corrosion:  0.955
Eye Irritation:  0.407
Respiratory Toxicity:  0.684

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

  Natural Product: NPC227668

Natural Product ID:  NPC227668
Common Name*:   LPFIPZJIWTZLEY-DAABMGJCSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  LPFIPZJIWTZLEY-DAABMGJCSA-N
Standard InCHI:  InChI=1S/C30H52O/c1-18(2)21(5)19(3)17-20(4)24-11-12-26-23-9-10-25-22(6)28(31)14-16-30(25,8)27(23)13-15-29(24,26)7/h17-18,20-28,31H,9-16H2,1-8H3/b19-17+/t20-,21-,22+,23+,24-,25+,26+,27+,28+,29-,30+/m1/s1
SMILES:  CC(C)[C@@H](C)/C(=C/[C@@H](C)[C@H]1CC[C@H]2[C@@H]3CC[C@H]4[C@H](C)[C@H](CC[C@]4(C)[C@H]3CC[C@]12C)O)/C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   6441076
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0002039] Gorgostanes 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
NPO12955 Rumex crispus Species Polygonaceae Eukaryota n.a. leaf n.a. DOI[10.1002/ardp.19542870405]
NPO895 Rabdosia inflexa Species Lamiaceae Eukaryota n.a. leaf n.a. DOI[10.1016/0031-9422(82)80090-3]
NPO268 Bruguiera parviflora Species Rhizophoraceae Eukaryota n.a. fruit n.a. PMID[15635238]
NPO5183 Feretia apodanthera Species Rubiaceae Eukaryota n.a. n.a. n.a. PMID[23268742]
NPO268 Bruguiera parviflora Species Rhizophoraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12955 Rumex crispus Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9809 Scutellaria altissima Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9809 Scutellaria altissima Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO268 Bruguiera parviflora Species Rhizophoraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12955 Rumex crispus Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5183 Feretia apodanthera Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12502 Cordylanthus parviflorus Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11766 Salvia forskahlei Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12955 Rumex crispus Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2158 Guarea kunthiana Species Meliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5405 Lycoris incarnata Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9809 Scutellaria altissima Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8898 Oplopanax japonicus Species Araliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO895 Rabdosia inflexa Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO268 Bruguiera parviflora Species Rhizophoraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13064 Amietophrynus mauritanicus Species Bufonidae 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 NPC227668 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 NPC227668 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