Structure

Physi-Chem Properties

Molecular Weight:  594.28
Volume:  616.241
LogP:  6.142
LogD:  3.65
LogS:  -4.048
# Rotatable Bonds:  7
TPSA:  143.83
# H-Bond Aceptor:  9
# H-Bond Donor:  5
# Rings:  6
# Heavy Atoms:  9

MedChem Properties

QED Drug-Likeness Score:  0.168
Synthetic Accessibility Score:  6.6
Fsp3:  0.343
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.895
MDCK Permeability:  4.6482423385896254e-06
Pgp-inhibitor:  0.083
Pgp-substrate:  0.992
Human Intestinal Absorption (HIA):  0.203
20% Bioavailability (F20%):  0.899
30% Bioavailability (F30%):  0.973

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.015
Plasma Protein Binding (PPB):  99.34383392333984%
Volume Distribution (VD):  0.14
Pgp-substrate:  2.9744997024536133%

ADMET: Metabolism

CYP1A2-inhibitor:  0.284
CYP1A2-substrate:  0.94
CYP2C19-inhibitor:  0.266
CYP2C19-substrate:  0.078
CYP2C9-inhibitor:  0.904
CYP2C9-substrate:  0.653
CYP2D6-inhibitor:  0.147
CYP2D6-substrate:  0.681
CYP3A4-inhibitor:  0.815
CYP3A4-substrate:  0.926

ADMET: Excretion

Clearance (CL):  2.708
Half-life (T1/2):  0.54

ADMET: Toxicity

hERG Blockers:  0.436
Human Hepatotoxicity (H-HT):  0.768
Drug-inuced Liver Injury (DILI):  0.936
AMES Toxicity:  0.091
Rat Oral Acute Toxicity:  0.977
Maximum Recommended Daily Dose:  0.899
Skin Sensitization:  0.057
Carcinogencity:  0.426
Eye Corrosion:  0.003
Eye Irritation:  0.006
Respiratory Toxicity:  0.986

Download Data

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

  Natural Product: NPC65625

Natural Product ID:  NPC65625
Common Name*:   UJFSDLUIECNORA-LDCXZXNSSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  UJFSDLUIECNORA-LDCXZXNSSA-N
Standard InCHI:  InChI=1S/C35H38N4O5/c1-8-19-15(3)22-12-24-17(5)21(10-11-28(40)41)32(38-24)30-31(35(43)44-7)34(42)29-18(6)25(39-33(29)30)14-27-20(9-2)16(4)23(37-27)13-26(19)36-22/h8,12-13,17,21,31,37-39H,1,9-11,14H2,2-7H3,(H,40,41)/t17-,21-,31+/m0/s1
SMILES:  C=CC1=C(C)C2=NC1=Cc1c(C)c(CC)c(Cc3c(C)c4c(C(=C5[C@@H](CCC(=O)O)[C@H](C)C(=C2)N5)[C@H](C4=O)C(=O)OC)[nH]3)[nH]1
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0001455] Tetrapyrroles 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
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. whole plant n.a. PMID[16755060]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. aerial part n.a. PMID[17666848]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. aerial part n.a. PMID[18239311]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[19785430]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[19962306]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[20078074]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota whole plants Nanning District, Guangxi Province, China 2012-Sep PMID[25647077]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota aerial parts Seoul, Korea n.a. PMID[26331882]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO16039 Scutellaria barbata 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 NPC65625 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 NPC65625 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