Natural Product: NPC149945

Natural Product IDNPC149945
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Cipatrijugin B
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL400181
PubChem CID 23626011
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0001986] Tricarboxylic acids and derivatives

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey GOEQVXYKRUHLMM-IZZXIUOXSA-N
Standard InCHI InChI=1S/C29H36O10/c1-15-28(34)14-26(5)23(17-8-9-36-13-17)38-22(32)12-29(15,26)39-20-11-19(37-16(2)30)25(3,4)18(10-21(31)35-7)27(20,6)24(28)33/h8-9,13,18-20,23,34H,1,10-12,14H2,2-7H3/t18-,19+,20-,23-,26-,27+,28+,29-/m0/s1
SMILES C=C1[C@@]2(C[C@@]3(C)[C@H](c4ccoc4)OC(=O)C[C@]13O[C@H]1C[C@H](C(C)(C)[C@H](CC(=O)OC)[C@@]1(C)C2=O)OC(=O)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   544.23 Volume:   536.805
?
Van der Waals volume.
Dense:   1.014 LogP:   1.194
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.692
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.23
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   30.0
TPSA:   138.57
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.341 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.463 Fsp3:   0.655
MCE-18:   180.0
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.263 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.025
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.068 Promiscuous compounds:   0.439

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.161 MDCK Permeability:   -4.989
Pgp-inhibitor:   0.874 Pgp-substrate:   0.484
PAMPA:   0.941
?
The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.011
20% Bioavailability (F20%):   0.073 30% Bioavailability (F30%):   0.435
50% Bioavailability (F50%):   0.798

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.984
Plasma Protein Binding (PPB):   59.849% Volume Distribution (VD):   -0.29
Fu: 39.699%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.986
OATP1B3 inhibitor:   0.725 BCRP inhibitor:   0.094
BSEP inhibitor:   0.857

ADMET: Metabolism

CYP1A2-inhibitor:   0.097 CYP1A2-substrate:   0.01
CYP2C19-inhibitor:   0.955 CYP2C19-substrate:   0.01
CYP2C9-inhibitor:   0.005 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.575
CYP3A4-inhibitor:   0.593 CYP3A4-substrate:   0.064
CYP2B6-substrate:   0.033 CYP2C8-inhibitor:   0.998
HLM stability:   0.891
?
Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  5.711 Half-life (T1/2):  1.525

ADMET: Toxicity

hERG Blockers:  0.012 hERG Blockers (10um):  0.037
Human Hepatotoxicity (H-HT):  0.821 Drug-induced Liver Injury (DILI):  0.964
AMES Toxicity:  0.807 Rat Oral Acute Toxicity:  0.917
Maximum Recommended Daily Dose:  0.932 Skin Sensitization:  0.997
Carcinogencity:  0.986 Eye Corrosion:  0.001
Eye Irritation:  0.46 Respiratory Toxicity:  0.1
Drug-induced Neurotoxicity:  0.525 Ototoxicity:  0.345
Hematotoxicity:  0.508 Drug-induced Nephrotoxicity:  0.998
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.222
A549 Cytotoxicity:  0.439 Hek293 Cytotoxicity:  0.158
BCF:   0.492
?
Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   3.346
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.704
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.066
?
96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO4584 Cipadessa cinerascens Species Meliaceae Eukaryota leaves n.a. n.a. PMID[17655260]
NPO4584 Cipadessa cinerascens Species Meliaceae Eukaryota Leaves n.a. n.a. PMID[19296669]
NPO4584 Cipadessa cinerascens Species Meliaceae Eukaryota leaves Longlin County of Guangxi Province, China 2012-JUL PMID[25970729]
NPO4584 Cipadessa cinerascens Species Meliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4584 Cipadessa cinerascens Species Meliaceae 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 Organism Name 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

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT81 Cell line A549 Homo sapiens ED50 > 5.0 ug ml-1 PMID[22769561]
NPT111 Cell line K562 Homo sapiens ED50 > 5.0 ug ml-1 PMID[23327668]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

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 toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC149945 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
0.7108 Intermediate Similarity NPC249021
0.7073 Intermediate Similarity NPC282445
0.6951 Remote Similarity NPC204663
0.6786 Remote Similarity NPC6326
0.6548 Remote Similarity NPC195131
0.6506 Remote Similarity NPC476122
0.573 Remote Similarity NPC472772
0.5714 Remote Similarity NPC82851
0.5604 Remote Similarity NPC200782
0.5444 Remote Similarity NPC472767
0.5444 Remote Similarity NPC472765
0.5326 Remote Similarity NPC472764
0.5326 Remote Similarity NPC476224
0.5275 Remote Similarity NPC476262
0.5269 Remote Similarity NPC472766
0.5111 Remote Similarity NPC196864

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC149945 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
NPD

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by 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