Natural Product: NPC479431

Natural Product IDNPC479431
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ZLJNDEAZTHKUBC-QNZWHCBBSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 ZLJNDEAZTHKUBC-QNZWHCBBSA-N
Standard InCHI InChI=1S/C40H56O8/c1-23-15-18-40(34(44)45)20-19-37(5)25(32(40)39(23,7)46)11-13-30-36(4)22-27(42)33(35(2,3)29(36)16-17-38(30,37)6)48-31(43)14-10-24-9-12-26(41)28(21-24)47-8/h9-12,14,21,23,27,29-30,32-33,41-42,46H,13,15-20,22H2,1-8H3,(H,44,45)/b14-10-/t23-,27-,29+,30-,32-,33+,36+,37-,38-,39-,40+/m1/s1
SMILES C[C@@H]1CC[C@@]2(CC[C@]3(C)C(=CC[C@@H]4[C@@]5(C)C[C@H]([C@@H](C(C)(C)[C@@H]5CC[C@@]34C)OC(=O)/C=Cc3ccc(c(c3)OC)O)O)[C@@H]2[C@]1(C)O)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   664.4 Volume:   700.924
?
Van der Waals volume.
Dense:   0.948 LogP:   3.534
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.157
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.726
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   35.0
TPSA:   133.52
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   4.0 Rings:   6.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.148 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.227 Fsp3:   0.7
MCE-18:   172.235
?
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:   1 PAINS Alert:   0
Colloidal aggregators:   0.947 Fluc inhibitor:   0.971
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.178
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.09
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.086 Promiscuous compounds:   0.146

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.427 MDCK Permeability:   -5.038
Pgp-inhibitor:   0.192 Pgp-substrate:   0.0
PAMPA:   0.965
?
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):   0.014
20% Bioavailability (F20%):   0.95 30% Bioavailability (F30%):   0.817
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.428
Plasma Protein Binding (PPB):   84.744% Volume Distribution (VD):   -0.131
Fu: 13.556%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.443
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.175 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.989
HLM stability:   0.0
?
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):  3.258 Half-life (T1/2):  1.628

ADMET: Toxicity

hERG Blockers:  0.07 hERG Blockers (10um):  0.132
Human Hepatotoxicity (H-HT):  0.671 Drug-induced Liver Injury (DILI):  0.173
AMES Toxicity:  0.157 Rat Oral Acute Toxicity:  0.197
Maximum Recommended Daily Dose:  0.567 Skin Sensitization:  0.999
Carcinogencity:  0.248 Eye Corrosion:  0.001
Eye Irritation:  0.184 Respiratory Toxicity:  0.858
Drug-induced Neurotoxicity:  0.02 Ototoxicity:  0.512
Hematotoxicity:  0.054 Drug-induced Nephrotoxicity:  0.85
Genotoxicity:  0.076 RPMI-8226 Immunitoxicity:  0.075
A549 Cytotoxicity:  0.908 Hek293 Cytotoxicity:  0.699
BCF:   1.218
?
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:   4.303
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.966
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.308
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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
NPO26327 Chaenomeles sinensis Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[14600382]
NPO26327 Chaenomeles sinensis Species Rosaceae Eukaryota Twigs n.a. n.a. PMID[25894905]
NPO26327 Chaenomeles sinensis Species Rosaceae Eukaryota Twigs n.a. n.a. PMID[28358502]
NPO26327 Chaenomeles sinensis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26327 Chaenomeles sinensis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26327 Chaenomeles sinensis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26327 Chaenomeles sinensis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO26327 Chaenomeles sinensis Species Rosaceae 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
NPT34 Cell line BV-2 Mus musculus IC50 = 37100.0 nM PMID[28358502]
NPT34 Cell line BV-2 Mus musculus Activity = 110.9 % PMID[28358502]

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 NPC479431 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
1.0 High Similarity NPC481234
0.8587 High Similarity NPC25491
0.8404 Intermediate Similarity NPC482051
0.8351 Intermediate Similarity NPC118033
0.8247 Intermediate Similarity NPC601567
0.8247 Intermediate Similarity NPC606631
0.8 Intermediate Similarity NPC481235
0.71 Intermediate Similarity NPC304110
0.71 Intermediate Similarity NPC27518
0.71 Intermediate Similarity NPC611516
0.7 Intermediate Similarity NPC482052
0.7 Intermediate Similarity NPC605663
0.6923 Remote Similarity NPC233012
0.6796 Remote Similarity NPC610795
0.6538 Remote Similarity NPC178093
0.6535 Remote Similarity NPC171007
0.6535 Remote Similarity NPC190849
0.6415 Remote Similarity NPC479745
0.6381 Remote Similarity NPC482049
0.6381 Remote Similarity NPC482050
0.6321 Remote Similarity NPC324798
0.6321 Remote Similarity NPC479742
0.5741 Remote Similarity NPC172311
0.5701 Remote Similarity NPC101863
0.5664 Remote Similarity NPC310729
0.5664 Remote Similarity NPC150310
0.5575 Remote Similarity NPC206232
0.5575 Remote Similarity NPC14515
0.5556 Remote Similarity NPC22676
0.5545 Remote Similarity NPC205392
0.5545 Remote Similarity NPC105942
0.5505 Remote Similarity NPC470618
0.5505 Remote Similarity NPC470619
0.5455 Remote Similarity NPC230151
0.5455 Remote Similarity NPC479744
0.54 Remote Similarity NPC54909
0.5357 Remote Similarity NPC479739
0.5327 Remote Similarity NPC173569
0.5278 Remote Similarity NPC475138
0.5268 Remote Similarity NPC132126
0.5258 Remote Similarity NPC247139
0.5248 Remote Similarity NPC327179
0.5234 Remote Similarity NPC485587
0.5229 Remote Similarity NPC477874
0.5221 Remote Similarity NPC479747
0.5221 Remote Similarity NPC479746
0.5217 Remote Similarity NPC479740
0.5217 Remote Similarity NPC479741
0.5204 Remote Similarity NPC62516
0.5179 Remote Similarity NPC488214
0.5175 Remote Similarity NPC473773
0.5175 Remote Similarity NPC475579
0.5155 Remote Similarity NPC259733
0.5155 Remote Similarity NPC158371
0.5155 Remote Similarity NPC207922
0.5155 Remote Similarity NPC202728
0.5155 Remote Similarity NPC158059
0.5152 Remote Similarity NPC157113
0.5135 Remote Similarity NPC477873
0.513 Remote Similarity NPC475454
0.513 Remote Similarity NPC473579
0.5102 Remote Similarity NPC132824
0.5089 Remote Similarity NPC198621
0.5089 Remote Similarity NPC216940
0.5086 Remote Similarity NPC473680
0.5051 Remote Similarity NPC148964
0.5043 Remote Similarity NPC475311

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC479431 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