Natural Product: NPC268320

Natural Product IDNPC268320
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
APFPLZLTXJYXMM-MTLPDSHASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 643707
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 APFPLZLTXJYXMM-MTLPDSHASA-N
Standard InCHI InChI=1S/C39H54O6/c1-34(2)19-21-39(33(43)44)22-20-37(5)27(28(39)23-34)12-13-30-35(3)17-16-31(41)36(4,29(35)15-18-38(30,37)6)24-45-32(42)14-9-25-7-10-26(40)11-8-25/h7-12,14,28-31,40-41H,13,15-24H2,1-6H3,(H,43,44)/p-1/b14-9-/t28-,29-,30-,31+,35+,36+,37-,38-,39+/m1/s1
SMILES CC1(C)CC[C@@]2(CC[C@]3(C)C(=CC[C@@H]4[C@@]5(C)CC[C@@H]([C@@](C)(COC(=O)/C=Cc6ccc(cc6)[O-])[C@@H]5CC[C@@]34C)O)[C@H]2C1)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   618.39 Volume:   666.047
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Van der Waals volume.
Dense:   0.928 LogP:   4.129
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.608
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.141
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   35.0
TPSA:   104.06
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.175 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.911 Fsp3:   0.692
MCE-18:   162.273
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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:   0.98 Fluc inhibitor:   0.932
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.033
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.036
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.155 Promiscuous compounds:   0.038

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.622 MDCK Permeability:   -5.076
Pgp-inhibitor:   0.006 Pgp-substrate:   0.0
PAMPA:   1.0
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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):   0.0
20% Bioavailability (F20%):   0.722 30% Bioavailability (F30%):   0.053
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.041 MRP1:   0.747
Plasma Protein Binding (PPB):   97.009% Volume Distribution (VD):   -0.358
Fu: 2.29%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.524 BCRP inhibitor:   0.031
BSEP inhibitor:   0.986

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.037 CYP2C19-substrate:   0.731
CYP2C9-inhibitor:   0.127 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.022
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.991
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.998
HLM stability:   0.966
?
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):  3.115 Half-life (T1/2):  1.17

ADMET: Toxicity

hERG Blockers:  0.128 hERG Blockers (10um):  0.146
Human Hepatotoxicity (H-HT):  0.701 Drug-induced Liver Injury (DILI):  0.289
AMES Toxicity:  0.239 Rat Oral Acute Toxicity:  0.183
Maximum Recommended Daily Dose:  0.539 Skin Sensitization:  0.999
Carcinogencity:  0.381 Eye Corrosion:  0.0
Eye Irritation:  0.325 Respiratory Toxicity:  0.861
Drug-induced Neurotoxicity:  0.061 Ototoxicity:  0.515
Hematotoxicity:  0.054 Drug-induced Nephrotoxicity:  0.865
Genotoxicity:  0.358 RPMI-8226 Immunitoxicity:  0.032
A549 Cytotoxicity:  0.872 Hek293 Cytotoxicity:  0.615
BCF:   1.04
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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:   4.431
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.851
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.365
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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
NPO23148 Ludwigia octovalvis Species Onagraceae Eukaryota n.a. n.a. n.a. PMID[14738395]
NPO23148 Ludwigia octovalvis Species Onagraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23148 Ludwigia octovalvis Species Onagraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23148 Ludwigia octovalvis Species Onagraceae 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 NPC268320 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
0.8488 Intermediate Similarity NPC198621
0.8488 Intermediate Similarity NPC216940
0.6915 Remote Similarity NPC262970
0.66 Remote Similarity NPC206232
0.66 Remote Similarity NPC14515
0.6489 Remote Similarity NPC18982
0.6354 Remote Similarity NPC171007
0.6354 Remote Similarity NPC190849
0.6341 Remote Similarity NPC480946
0.6341 Remote Similarity NPC130577
0.6341 Remote Similarity NPC142415
0.6341 Remote Similarity NPC102683
0.6162 Remote Similarity NPC605663
0.6122 Remote Similarity NPC22676
0.6122 Remote Similarity NPC488215
0.6118 Remote Similarity NPC298554
0.6071 Remote Similarity NPC270768
0.6071 Remote Similarity NPC59263
0.6071 Remote Similarity NPC210106
0.604 Remote Similarity NPC479747
0.604 Remote Similarity NPC479746
0.602 Remote Similarity NPC271494
0.5955 Remote Similarity NPC474727
0.5941 Remote Similarity NPC132126
0.5905 Remote Similarity NPC601567
0.5905 Remote Similarity NPC606631
0.5882 Remote Similarity NPC482049
0.5882 Remote Similarity NPC482050
0.5865 Remote Similarity NPC479740
0.5865 Remote Similarity NPC479741
0.5842 Remote Similarity NPC54627
0.5842 Remote Similarity NPC249817
0.5825 Remote Similarity NPC610795
0.5784 Remote Similarity NPC606782
0.5741 Remote Similarity NPC53520
0.5728 Remote Similarity NPC475482
0.5714 Remote Similarity NPC173569
0.5607 Remote Similarity NPC310729
0.5607 Remote Similarity NPC150310
0.5568 Remote Similarity NPC200752
0.5517 Remote Similarity NPC182797
0.5517 Remote Similarity NPC52169
0.5517 Remote Similarity NPC488562
0.5455 Remote Similarity NPC158141
0.5446 Remote Similarity NPC475627
0.5402 Remote Similarity NPC198664
0.54 Remote Similarity NPC43353
0.5385 Remote Similarity NPC488214
0.5377 Remote Similarity NPC473773
0.5377 Remote Similarity NPC475311
0.5377 Remote Similarity NPC475579
0.5341 Remote Similarity NPC282616
0.5341 Remote Similarity NPC275809
0.5341 Remote Similarity NPC121798
0.5341 Remote Similarity NPC64872
0.5341 Remote Similarity NPC84319
0.5341 Remote Similarity NPC25906
0.5341 Remote Similarity NPC234346
0.5341 Remote Similarity NPC52021
0.5341 Remote Similarity NPC599947
0.5333 Remote Similarity NPC474963
0.5281 Remote Similarity NPC231063
0.5281 Remote Similarity NPC282395
0.5281 Remote Similarity NPC130278
0.5281 Remote Similarity NPC481360
0.5281 Remote Similarity NPC110308
0.5222 Remote Similarity NPC228784
0.5222 Remote Similarity NPC324341
0.5222 Remote Similarity NPC120840
0.5222 Remote Similarity NPC601810
0.5152 Remote Similarity NPC283849
0.5152 Remote Similarity NPC28198
0.5152 Remote Similarity NPC476123
0.5149 Remote Similarity NPC100383
0.5116 Remote Similarity NPC604575
0.5111 Remote Similarity NPC106112
0.5111 Remote Similarity NPC261935
0.5094 Remote Similarity NPC172311
0.5054 Remote Similarity NPC222047
0.5049 Remote Similarity NPC284807
0.5047 Remote Similarity NPC304110
0.5047 Remote Similarity NPC27518
0.5047 Remote Similarity NPC611516

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC268320 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
0.5784 Remote Similarity NPD8166 Discontinued

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