Natural Product: NPC472577

Natural Product IDNPC472577
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WNVNFNRMEDUIMJ-WTDCVXMASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3577224
PubChem CID 49831747
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0002995] Pentacarboxylic 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 WNVNFNRMEDUIMJ-WTDCVXMASA-N
Standard InCHI InChI=1S/C30H38O11/c1-16-13-23(37-18(3)32)25(39-20(5)34)29(15-36-17(2)31)26(40-27(35)21-11-9-8-10-12-21)24(38-19(4)33)22-14-30(16,29)41-28(22,6)7/h8-12,16,22-26H,13-15H2,1-7H3/t16-,22+,23+,24+,25+,26+,29+,30+/m1/s1
SMILES CC1CC(C(C2(C13CC(C(C2OC(=O)C4=CC=CC=C4)OC(=O)C)C(O3)(C)C)COC(=O)C)OC(=O)C)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   574.24 Volume:   568.811
?
Van der Waals volume.
Dense:   1.01 LogP:   3.116
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.11
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.848
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   25.0
TPSA:   140.73
?
Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   0.0 Rings:   4.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.35 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.841 Fsp3:   0.633
MCE-18:   146.816
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.051 Fluc inhibitor:   0.004
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.01
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.244
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.133 Promiscuous compounds:   0.032

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.97 MDCK Permeability:   -4.594
Pgp-inhibitor:   0.997 Pgp-substrate:   0.211
PAMPA:   0.201
?
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):   0.007
20% Bioavailability (F20%):   0.03 30% Bioavailability (F30%):   0.88
50% Bioavailability (F50%):   0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.211 MRP1:   0.997
Plasma Protein Binding (PPB):   70.585% Volume Distribution (VD):   -0.252
Fu: 28.562%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.947
OATP1B3 inhibitor:   0.99 BCRP inhibitor:   0.071
BSEP inhibitor:   0.997

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.252
CYP2C19-inhibitor:   0.032 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.981
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.669
CYP3A4-inhibitor:   0.669 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.001 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
?
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):  1.06 Half-life (T1/2):  0.99

ADMET: Toxicity

hERG Blockers:  0.047 hERG Blockers (10um):  0.373
Human Hepatotoxicity (H-HT):  0.121 Drug-induced Liver Injury (DILI):  0.813
AMES Toxicity:  0.383 Rat Oral Acute Toxicity:  0.094
Maximum Recommended Daily Dose:  0.306 Skin Sensitization:  0.454
Carcinogencity:  0.48 Eye Corrosion:  0.0
Eye Irritation:  0.029 Respiratory Toxicity:  0.004
Drug-induced Neurotoxicity:  0.416 Ototoxicity:  0.604
Hematotoxicity:  0.031 Drug-induced Nephrotoxicity:  0.212
Genotoxicity:  0.349 RPMI-8226 Immunitoxicity:  0.048
A549 Cytotoxicity:  0.012 Hek293 Cytotoxicity:  0.284
BCF:   0.863
?
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:   3.813
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.689
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.213
?
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
NPO25272 Celastrus angulatus Species Celastraceae Eukaryota n.a. seed n.a. DOI[10.1016/S0031-9422(99)00216-2]
NPO15653 Celastrus vulcanicola Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[18616221]
NPO15653 Celastrus vulcanicola Species Celastraceae Eukaryota stems Montecristo National Park, province of Santa Ana, El Salvador 2004-JUN PMID[20873773]
NPO15653 Celastrus vulcanicola Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[21419633]
NPO15653 Celastrus vulcanicola Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[25695368]
NPO25272 Celastrus angulatus Species Celastraceae Eukaryota seeds and root bark Henan, China n.a. PMID[26295746]
NPO25272 Celastrus angulatus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25272 Celastrus angulatus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO25272 Celastrus angulatus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25272 Celastrus angulatus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO15653 Celastrus vulcanicola Species Celastraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25272 Celastrus angulatus Species Celastraceae 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
NPT668 Individual protein P-glycoprotein 1 Homo sapiens Activity = 68.2 % PMID[20402524]

In vitro activity

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

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 NPC472577 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
0.9 High Similarity NPC483902
0.7101 Intermediate Similarity NPC481061
0.7 Intermediate Similarity NPC488918
0.7 Intermediate Similarity NPC488913
0.6933 Remote Similarity NPC473089
0.6667 Remote Similarity NPC147880
0.6522 Remote Similarity NPC473060
0.6438 Remote Similarity NPC481071
0.6429 Remote Similarity NPC479047
0.6429 Remote Similarity NPC291638
0.6338 Remote Similarity NPC148062
0.6029 Remote Similarity NPC481066
0.5972 Remote Similarity NPC4341
0.5972 Remote Similarity NPC191082
0.5946 Remote Similarity NPC479044
0.589 Remote Similarity NPC147217
0.589 Remote Similarity NPC137718
0.5867 Remote Similarity NPC16912
0.5867 Remote Similarity NPC472570
0.5833 Remote Similarity NPC51314
0.5823 Remote Similarity NPC473109
0.5811 Remote Similarity NPC471100
0.5811 Remote Similarity NPC605884
0.5694 Remote Similarity NPC481067
0.5676 Remote Similarity NPC43241
0.5676 Remote Similarity NPC177340
0.5658 Remote Similarity NPC479043
0.5658 Remote Similarity NPC472569
0.5658 Remote Similarity NPC11685
0.5634 Remote Similarity NPC481047
0.5634 Remote Similarity NPC481045
0.56 Remote Similarity NPC254558
0.56 Remote Similarity NPC471107
0.5584 Remote Similarity NPC95265
0.5584 Remote Similarity NPC97667
0.5443 Remote Similarity NPC481489
0.5385 Remote Similarity NPC70716
0.5385 Remote Similarity NPC184747
0.5333 Remote Similarity NPC90257
0.5333 Remote Similarity NPC69357
0.5316 Remote Similarity NPC481490
0.5278 Remote Similarity NPC195647
0.5278 Remote Similarity NPC200592
0.5278 Remote Similarity NPC610542
0.5263 Remote Similarity NPC67777
0.5263 Remote Similarity NPC139067
0.5244 Remote Similarity NPC479040
0.5185 Remote Similarity NPC481488
0.5132 Remote Similarity NPC483845
0.5128 Remote Similarity NPC473110
0.5128 Remote Similarity NPC481057
0.5128 Remote Similarity NPC305403
0.5125 Remote Similarity NPC36021
0.5119 Remote Similarity NPC6576
0.5119 Remote Similarity NPC610134
0.5067 Remote Similarity NPC152440
0.5067 Remote Similarity NPC483888
0.5065 Remote Similarity NPC483846
0.5063 Remote Similarity NPC57628
0.5062 Remote Similarity NPC481068
0.5062 Remote Similarity NPC479042
0.5059 Remote Similarity NPC75600
0.5059 Remote Similarity NPC483884

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC472577 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