Natural Product: NPC127683

Natural Product IDNPC127683
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FKTQBZHKUPHHSC-SDUJRMPFSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101756120
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 FKTQBZHKUPHHSC-SDUJRMPFSA-N
Standard InCHI InChI=1S/C39H56O4/c1-25(2)28-16-21-39(24-40)23-22-37(6)29(34(28)39)13-14-31-36(5)19-18-32(35(3,4)30(36)17-20-38(31,37)7)43-33(42)15-10-26-8-11-27(41)12-9-26/h8-12,15,28-32,34,40-41H,1,13-14,16-24H2,2-7H3/b15-10-/t28-,29+,30-,31+,32-,34+,36-,37+,38+,39+/m0/s1
SMILES C=C(C)[C@@H]1CC[C@@]2(CC[C@]3(C)[C@H](CC[C@@H]4[C@@]5(C)CC[C@@H](C(C)(C)[C@@H]5CC[C@@]34C)OC(=O)/C=Cc3ccc(cc3)O)[C@@H]12)CO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   588.42 Volume:   651.103
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Van der Waals volume.
Dense:   0.904 LogP:   6.758
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   5.184
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -7.179
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   34.0
TPSA:   66.76
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   6.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.205 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.895 Fsp3:   0.718
MCE-18:   155.955
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.993 Fluc inhibitor:   0.976
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.01
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.004
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.166 Promiscuous compounds:   0.166

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.53 MDCK Permeability:   -5.081
Pgp-inhibitor:   0.36 Pgp-substrate:   0.028
PAMPA:   0.048
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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%):   0.871 30% Bioavailability (F30%):   0.992
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.332 MRP1:   0.798
Plasma Protein Binding (PPB):   97.698% Volume Distribution (VD):   0.162
Fu: 2.075%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.845 BCRP inhibitor:   0.026
BSEP inhibitor:   0.98

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.98 CYP2C19-substrate:   0.064
CYP2C9-inhibitor:   0.051 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.003 CYP2D6-substrate:   0.104
CYP3A4-inhibitor:   0.233 CYP3A4-substrate:   0.999
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.03
?
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):  7.477 Half-life (T1/2):  0.941

ADMET: Toxicity

hERG Blockers:  0.407 hERG Blockers (10um):  0.595
Human Hepatotoxicity (H-HT):  0.749 Drug-induced Liver Injury (DILI):  0.159
AMES Toxicity:  0.307 Rat Oral Acute Toxicity:  0.075
Maximum Recommended Daily Dose:  0.748 Skin Sensitization:  1.0
Carcinogencity:  0.39 Eye Corrosion:  0.021
Eye Irritation:  0.813 Respiratory Toxicity:  0.882
Drug-induced Neurotoxicity:  0.326 Ototoxicity:  0.225
Hematotoxicity:  0.081 Drug-induced Nephrotoxicity:  0.866
Genotoxicity:  0.395 RPMI-8226 Immunitoxicity:  0.049
A549 Cytotoxicity:  0.885 Hek293 Cytotoxicity:  0.895
BCF:   1.59
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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:   4.83
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.097
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.61
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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
NPO26828 Barbarea verna Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25482 Phyllogeiton zeyheri n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO23780 Psoroma crassum Species Pannariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26183 Scabiosa pyrenaica Species Caprifoliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26828 Barbarea verna Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25482 Phyllogeiton zeyheri n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO2201 Orthocaulis attenuatus Species Anastrophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25532 Blitum virgatum Species Chenopodiaceae 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 NPC127683 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
0.8933 High Similarity NPC148404
0.8933 High Similarity NPC35212
0.8919 High Similarity NPC478273
0.7975 Intermediate Similarity NPC310621
0.7625 Intermediate Similarity NPC11266
0.7412 Intermediate Similarity NPC478274
0.7262 Intermediate Similarity NPC252133
0.7024 Intermediate Similarity NPC478270
0.7024 Intermediate Similarity NPC478271
0.6944 Remote Similarity NPC5280
0.686 Remote Similarity NPC248287
0.686 Remote Similarity NPC234548
0.6533 Remote Similarity NPC168231
0.6429 Remote Similarity NPC473612
0.6154 Remote Similarity NPC8102
0.6154 Remote Similarity NPC66894
0.5895 Remote Similarity NPC478272
0.5833 Remote Similarity NPC205392
0.5833 Remote Similarity NPC105942
0.5684 Remote Similarity NPC101863
0.5591 Remote Similarity NPC182249
0.5513 Remote Similarity NPC61107
0.5325 Remote Similarity NPC305835
0.5281 Remote Similarity NPC86257
0.5258 Remote Similarity NPC486700
0.5258 Remote Similarity NPC275312
0.5185 Remote Similarity NPC304194
0.5155 Remote Similarity NPC477874
0.5125 Remote Similarity NPC98270
0.5104 Remote Similarity NPC473591
0.51 Remote Similarity NPC172311
0.5062 Remote Similarity NPC611062

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC127683 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