Natural Product: NPC288944

Natural Product IDNPC288944
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NJIBYWMHTBDPCP-UNLHVXOPSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 11051372
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003918] Saccharolipids

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 NJIBYWMHTBDPCP-UNLHVXOPSA-N
Standard InCHI InChI=1S/C46H58O25/c1-4-22-23(24(42(61)62-3)17-65-43(22)71-46-38(59)36(57)34(55)29(16-47)67-46)15-32(53)64-18-30-40(69-31(52)10-7-20-5-8-25(48)27(50)13-20)41(70-45-37(58)35(56)33(54)19(2)66-45)39(60)44(68-30)63-12-11-21-6-9-26(49)28(51)14-21/h4-10,13-14,17,19,23,29-30,33-41,43-51,54-60H,11-12,15-16,18H2,1-3H3/b10-7+,22-4+/t19-,23-,29+,30+,33-,34+,35+,36-,37+,38+,39+,40+,41+,43-,44+,45-,46-/m0/s1
SMILES C/C=C/1[C@H](CC(=O)OC[C@@H]2[C@H]([C@@H]([C@H]([C@H](OCCc3ccc(c(c3)O)O)O2)O)O[C@H]2[C@@H]([C@@H]([C@H]([C@H](C)O2)O)O)O)OC(=O)/C=C/c2ccc(c(c2)O)O)C(=CO[C@H]1O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)C(=O)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1010.33 Volume:   940.951
?
Van der Waals volume.
Dense:   1.074 LogP:   0.247
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.855
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.306
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   20.0 Rigid Bonds:   41.0
TPSA:   386.27
?
Topological Polar Surface Area.
H-Bond Acceptor:   25.0
H-Bond Donor:   12.0 Rings:   6.0
Heavy Atoms:   25.0

MedChem Properties

QED Drug-Likeness Score:   0.026 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.229 Fsp3:   0.543
MCE-18:   160.028
?
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:   1
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.773 Fluc inhibitor:   0.659
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.295
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.637
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.219 Promiscuous compounds:   0.29

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.229 MDCK Permeability:   -5.498
Pgp-inhibitor:   0.0 Pgp-substrate:   0.12
PAMPA:   1.0
?
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):   0.842
20% Bioavailability (F20%):   0.999 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.075
Plasma Protein Binding (PPB):   69.383% Volume Distribution (VD):   -0.328
Fu: 27.264%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.017
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.078
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.146
?
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):  0.971 Half-life (T1/2):  4.261

ADMET: Toxicity

hERG Blockers:  0.007 hERG Blockers (10um):  0.392
Human Hepatotoxicity (H-HT):  0.691 Drug-induced Liver Injury (DILI):  0.992
AMES Toxicity:  0.966 Rat Oral Acute Toxicity:  0.018
Maximum Recommended Daily Dose:  0.077 Skin Sensitization:  1.0
Carcinogencity:  0.007 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.053 Drug-induced Nephrotoxicity:  0.77
Genotoxicity:  0.996 RPMI-8226 Immunitoxicity:  0.073
A549 Cytotoxicity:  0.992 Hek293 Cytotoxicity:  0.501
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:   3.448
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.356
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.632
?
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
NPO1552 Euonymus japonicus Species Celastraceae Eukaryota n.a. n.a. n.a. DOI[10.1039/P19890001079]
NPO12062 Pseudoxandra cuspidata Species Annonaceae Eukaryota Bark n.a. n.a. PMID[19299148]
NPO12298 Epilobium parviflorum Species Onagraceae Eukaryota n.a. n.a. n.a. PMID[37111814]
NPO15096 Penicillium sclerotiorum Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13239 Eudistoma toealensis Species Polycitoridae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10656 Rzedowskia tolantonguensis Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1552 Euonymus japonicus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11272 Plectranthus parviflorus Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1552 Euonymus japonicus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8614 Cinchona succirubra Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO1552 Euonymus japonicus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8614 Cinchona succirubra Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1552 Euonymus japonicus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO15096 Penicillium sclerotiorum Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6240 Paliurus spina-christi Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10146 Bassia parkii Species Abylidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13363 Rumex aquaticus Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11606 Anemoclema glaucifolium Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14760 Eulophia ochreata Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14219 Aconitum racemulosum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12062 Pseudoxandra cuspidata Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1197 Panax trifoliatus Species Araliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12298 Epilobium parviflorum Species Onagraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10656 Rzedowskia tolantonguensis Species Celastraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15910 Calea morii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2891 Montanelia tominii Species Parmeliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15423 Senecio ilicifolius Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13239 Eudistoma toealensis Species Polycitoridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1552 Euonymus japonicus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16173 Parmelia norcrambidiocarpa Species Parmeliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14343 Scapharca broughtonii Species Arcidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9574 Trametes albida Species Coriolaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3128 Solanum dasyphyllum Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11272 Plectranthus parviflorus Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8614 Cinchona succirubra Species Rubiaceae 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

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 NPC288944 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
0.7143 Intermediate Similarity NPC298257
0.7143 Intermediate Similarity NPC175214
0.6923 Remote Similarity NPC611289
0.681 Remote Similarity NPC488390
0.6759 Remote Similarity NPC198577
0.6757 Remote Similarity NPC106818
0.6699 Remote Similarity NPC296643
0.6699 Remote Similarity NPC299576
0.6667 Remote Similarity NPC76406
0.6667 Remote Similarity NPC488389
0.6574 Remote Similarity NPC23677
0.6522 Remote Similarity NPC87403
0.6514 Remote Similarity NPC205864
0.6514 Remote Similarity NPC247032
0.6321 Remote Similarity NPC472350
0.6321 Remote Similarity NPC197316
0.6321 Remote Similarity NPC89105
0.6283 Remote Similarity NPC300894
0.6283 Remote Similarity NPC23845
0.6102 Remote Similarity NPC64195
0.6071 Remote Similarity NPC65262
0.6071 Remote Similarity NPC84429
0.6071 Remote Similarity NPC101686
0.6034 Remote Similarity NPC476384
0.6017 Remote Similarity NPC470933
0.5982 Remote Similarity NPC269141
0.5981 Remote Similarity NPC169398
0.5826 Remote Similarity NPC100998
0.5798 Remote Similarity NPC476380
0.5789 Remote Similarity NPC252292
0.5785 Remote Similarity NPC488386
0.5739 Remote Similarity NPC119537
0.5702 Remote Similarity NPC469364
0.5702 Remote Similarity NPC488387
0.5702 Remote Similarity NPC609284
0.5669 Remote Similarity NPC257970
0.5667 Remote Similarity NPC476381
0.5664 Remote Similarity NPC488383
0.5603 Remote Similarity NPC112
0.56 Remote Similarity NPC476386
0.5593 Remote Similarity NPC259347
0.5545 Remote Similarity NPC46137
0.5455 Remote Similarity NPC196063
0.5455 Remote Similarity NPC81515
0.5455 Remote Similarity NPC604195
0.5446 Remote Similarity NPC600692
0.5357 Remote Similarity NPC64141
0.5357 Remote Similarity NPC205195
0.5323 Remote Similarity NPC470934
0.5317 Remote Similarity NPC229505
0.531 Remote Similarity NPC483705
0.5299 Remote Similarity NPC34587
0.5294 Remote Similarity NPC34927
0.5259 Remote Similarity NPC263829
0.525 Remote Similarity NPC96795
0.525 Remote Similarity NPC264632
0.5246 Remote Similarity NPC476375
0.5221 Remote Similarity NPC483706
0.5191 Remote Similarity NPC470927
0.513 Remote Similarity NPC68092
0.5124 Remote Similarity NPC610636
0.504 Remote Similarity NPC476378

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC288944 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
0.6321 Remote Similarity NPD7266 Phase 2

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