Natural Product: NPC271266

Natural Product IDNPC271266
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
GJYVHBNHRSKXSV-TTXOOTMKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1941163
PubChem CID 57332505
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0002321] Cycloartanols 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 GJYVHBNHRSKXSV-TTXOOTMKSA-N
Standard InCHI InChI=1S/C33H46O6/c1-18(2)15-25(37)29(39-22(6)35)20(4)28-26(38-21(5)34)16-31(8)27-10-9-23-19(3)24(36)11-12-32(23)17-33(27,32)14-13-30(28,31)7/h11-12,15,19-20,23,26-29H,9-10,13-14,16-17H2,1-8H3/t19-,20-,23-,26-,27-,28-,29+,30+,31-,32+,33-/m0/s1
SMILES CC(=CC(=O)[C@@H]([C@@H](C)[C@H]1[C@H](C[C@@]2(C)[C@@H]3CC[C@H]4[C@H](C)C(=O)C=C[C@]54C[C@@]35CC[C@]12C)OC(=O)C)OC(=O)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   538.33 Volume:   573.464
?
Van der Waals volume.
Dense:   0.939 LogP:   3.027
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.159
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.168
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   27.0
TPSA:   86.74
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.303 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.095 Fsp3:   0.758
MCE-18:   137.172
?
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:   0.795 Fluc inhibitor:   0.075
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.009
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.354 Promiscuous compounds:   0.556

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.124 MDCK Permeability:   -4.908
Pgp-inhibitor:   0.99 Pgp-substrate:   0.059
PAMPA:   0.131
?
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):   0.001
20% Bioavailability (F20%):   0.246 30% Bioavailability (F30%):   0.532
50% Bioavailability (F50%):   0.969

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.007 MRP1:   0.773
Plasma Protein Binding (PPB):   94.29% Volume Distribution (VD):   0.027
Fu: 5.925%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.042
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.041 CYP1A2-substrate:   0.53
CYP2C19-inhibitor:   0.833 CYP2C19-substrate:   0.013
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.047
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.412
CYP3A4-inhibitor:   0.994 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.987
HLM stability:   0.839
?
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):  7.116 Half-life (T1/2):  0.513

ADMET: Toxicity

hERG Blockers:  0.048 hERG Blockers (10um):  0.259
Human Hepatotoxicity (H-HT):  0.521 Drug-induced Liver Injury (DILI):  0.272
AMES Toxicity:  0.336 Rat Oral Acute Toxicity:  0.416
Maximum Recommended Daily Dose:  0.484 Skin Sensitization:  0.9
Carcinogencity:  0.493 Eye Corrosion:  0.012
Eye Irritation:  0.119 Respiratory Toxicity:  0.777
Drug-induced Neurotoxicity:  0.115 Ototoxicity:  0.447
Hematotoxicity:  0.755 Drug-induced Nephrotoxicity:  0.423
Genotoxicity:  0.888 RPMI-8226 Immunitoxicity:  0.094
A549 Cytotoxicity:  0.13 Hek293 Cytotoxicity:  0.163
BCF:   1.068
?
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:   4.274
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.83
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.434
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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
NPO16384 Neoboutonia melleri Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[22168134]
NPO16384 Neoboutonia melleri Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[22206869]
NPO16384 Neoboutonia melleri Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16384 Neoboutonia melleri Species Euphorbiaceae 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
NPT2 Others Unspecified n.a. FC = 44.0 n.a. PMID[20408555]
NPT2 Others Unspecified n.a. FC = 34.0 n.a. PMID[18955514]
NPT2 Others Unspecified n.a. FC = 1.1 n.a. PMID[18293924]
NPT2 Others Unspecified n.a. IC50 > 1000000.0 nM PMID[18579374]

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 NPC271266 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
0.803 Intermediate Similarity NPC308351
0.7681 Intermediate Similarity NPC470267
0.7465 Intermediate Similarity NPC214797
0.7465 Intermediate Similarity NPC231589
0.7465 Intermediate Similarity NPC118860
0.7391 Intermediate Similarity NPC235889
0.7361 Intermediate Similarity NPC470269
0.7344 Intermediate Similarity NPC294266
0.6575 Remote Similarity NPC181265
0.6364 Remote Similarity NPC170487
0.6316 Remote Similarity NPC258543
0.6316 Remote Similarity NPC241927
0.5897 Remote Similarity NPC270958
0.5513 Remote Similarity NPC470309
0.506 Remote Similarity NPC118638

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC271266 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