Structure

Physi-Chem Properties

Molecular Weight:  823.87
Volume:  547.691
LogP:  1.717
LogD:  1.693
LogS:  -4.953
# Rotatable Bonds:  8
TPSA:  240.29
# H-Bond Aceptor:  15
# H-Bond Donor:  12
# Rings:  6
# Heavy Atoms:  19

MedChem Properties

QED Drug-Likeness Score:  0.184
Synthetic Accessibility Score:  6.297
Fsp3:  0.455
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
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:  -5.759
MDCK Permeability:  1.0824161108757835e-05
Pgp-inhibitor:  0.789
Pgp-substrate:  0.998
Human Intestinal Absorption (HIA):  0.914
20% Bioavailability (F20%):  0.01
30% Bioavailability (F30%):  0.62

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.557
Plasma Protein Binding (PPB):  95.28569793701172%
Volume Distribution (VD):  0.63
Pgp-substrate:  9.353023529052734%

ADMET: Metabolism

CYP1A2-inhibitor:  0.14
CYP1A2-substrate:  0.287
CYP2C19-inhibitor:  0.309
CYP2C19-substrate:  0.049
CYP2C9-inhibitor:  0.041
CYP2C9-substrate:  0.047
CYP2D6-inhibitor:  0.13
CYP2D6-substrate:  0.247
CYP3A4-inhibitor:  0.487
CYP3A4-substrate:  0.018

ADMET: Excretion

Clearance (CL):  1.683
Half-life (T1/2):  0.298

ADMET: Toxicity

hERG Blockers:  0.212
Human Hepatotoxicity (H-HT):  0.053
Drug-inuced Liver Injury (DILI):  0.936
AMES Toxicity:  0.051
Rat Oral Acute Toxicity:  0.757
Maximum Recommended Daily Dose:  0.907
Skin Sensitization:  0.098
Carcinogencity:  0.408
Eye Corrosion:  0.003
Eye Irritation:  0.006
Respiratory Toxicity:  0.962

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

  Natural Product: NPC120876

Natural Product ID:  NPC120876
Common Name*:   MJHZRZBAUGHJOJ-RVJSRHHYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  MJHZRZBAUGHJOJ-RVJSRHHYSA-N
Standard InCHI:  InChI=1S/C22H24Br4N10O5/c23-7-1-9(31-13(7)25)15(38)29-3-5-6(4-30-16(39)10-2-8(24)14(26)32-10)12(37)21-11(5)22(40)18(34-20(28)36-22)41-17(21)33-19(27)35-21/h1-2,5-6,11-12,17-18,31-32,37,40H,3-4H2,(H,29,38)(H,30,39)(H3,27,33,35)(H3,28,34,36)/t5-,6-,11+,12+,17+,18-,21+,22-/m1/s1
SMILES:  c1c(c(Br)[nH]c1C(=O)NC[C@@H]1[C@@H](CNC(=O)c2cc(c(Br)[nH]2)Br)[C@@H]([C@@]23[C@H]1[C@]1([C@H](NC(=N)N1)O[C@@H]2NC(=N)N3)O)O)Br
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   10953212
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001549] Monoterpenoids
          • [CHEMONTID:0001565] Iridoids 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
NPO7079 Stylissa massa Species Axinellidae Eukaryota n.a. Philippine n.a. PMID[11784156]
NPO7079 Stylissa massa Species Axinellidae Eukaryota n.a. n.a. n.a. PMID[12816422]
NPO17228 Streptosporangium sibiricum Species Streptosporangiaceae Bacteria n.a. n.a. n.a. PMID[21612226]
NPO7079 Stylissa massa Species Axinellidae Eukaryota n.a. n.a. n.a. PMID[23684893]
NPO17228 Streptosporangium sibiricum Species Streptosporangiaceae Bacteria n.a. n.a. n.a. PMID[25960001]
NPO13082 Veratrum californicum Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10821 Magnolia praecocissima Species Magnoliaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10821 Magnolia praecocissima Species Magnoliaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13082 Veratrum californicum Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13082 Veratrum californicum Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO16568 Vernonia cotoneaster Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17379 Lepidium syvaschicum Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17927 Streptomyces thioluteus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO17228 Streptosporangium sibiricum Species Streptosporangiaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO5061 Rhaphiolepis indica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11624 Didymella lethalis Species Didymellaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13082 Veratrum californicum Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO261 Sulfurospirillum multivorans Species Campylobacteraceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO10821 Magnolia praecocissima Species Magnoliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7079 Stylissa massa Species Axinellidae 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 NPC120876 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 NPC120876 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