Natural Product: NPC210276

Natural Product IDNPC210276
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
LUZUHPHTXSGDDD-PWKXLIGRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 14167345
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 LUZUHPHTXSGDDD-PWKXLIGRSA-N
Standard InCHI InChI=1S/C30H50O/c1-19(2)20-9-12-24-28(20,6)17-18-29(7)22-10-11-23-26(3,4)25(31)14-15-27(23,5)21(22)13-16-30(24,29)8/h19-20,23-25,31H,9-18H2,1-8H3/t20-,23+,24-,25+,27-,28-,29-,30+/m1/s1
SMILES CC(C)[C@H]1CC[C@@H]2[C@]1(C)CC[C@]1(C)C3=C(CC[C@@]21C)[C@@]1(C)CC[C@@H](C(C)(C)[C@@H]1CC3)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   426.39 Volume:   490.807
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Van der Waals volume.
Dense:   0.869 LogP:   5.273
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.193
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.162
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   25.0
TPSA:   20.23
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Topological Polar Surface Area.
H-Bond Acceptor:   1.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   1.0

MedChem Properties

QED Drug-Likeness Score:   0.419 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.651 Fsp3:   0.933
MCE-18:   98.241
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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:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.869 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.013
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.698 Promiscuous compounds:   0.034

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.151 MDCK Permeability:   -4.837
Pgp-inhibitor:   0.986 Pgp-substrate:   0.011
PAMPA:   0.104
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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%):   0.789 30% Bioavailability (F30%):   0.286
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.995 MRP1:   0.988
Plasma Protein Binding (PPB):   97.735% Volume Distribution (VD):   -0.068
Fu: 2.689%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.975 BCRP inhibitor:   0.255
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.599 CYP1A2-substrate:   0.312
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.805
CYP2C9-inhibitor:   0.042 CYP2C9-substrate:   0.072
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.095
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.742 CYP2C8-inhibitor:   0.995
HLM stability:   0.385
?
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):  10.961 Half-life (T1/2):  0.187

ADMET: Toxicity

hERG Blockers:  0.118 hERG Blockers (10um):  0.487
Human Hepatotoxicity (H-HT):  0.7 Drug-induced Liver Injury (DILI):  0.084
AMES Toxicity:  0.18 Rat Oral Acute Toxicity:  0.365
Maximum Recommended Daily Dose:  0.65 Skin Sensitization:  0.937
Carcinogencity:  0.887 Eye Corrosion:  0.125
Eye Irritation:  0.67 Respiratory Toxicity:  0.864
Drug-induced Neurotoxicity:  0.173 Ototoxicity:  0.608
Hematotoxicity:  0.458 Drug-induced Nephrotoxicity:  0.685
Genotoxicity:  0.153 RPMI-8226 Immunitoxicity:  0.079
A549 Cytotoxicity:  0.592 Hek293 Cytotoxicity:  0.569
BCF:   3.054
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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:   4.764
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.191
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.427
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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
NPO18641 Radix euphorbiae pekinensis Species Lymnaeidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5731 Euphorbia humifusa Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5731 Euphorbia humifusa Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO18641 Radix euphorbiae pekinensis Species Lymnaeidae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5731 Euphorbia humifusa Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5731 Euphorbia humifusa Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO5731 Euphorbia humifusa 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

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 NPC210276 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
0.6481 Remote Similarity NPC606082
0.6071 Remote Similarity NPC118508
0.6071 Remote Similarity NPC484086
0.5965 Remote Similarity NPC275910
0.5965 Remote Similarity NPC46160
0.5965 Remote Similarity NPC202642
0.5932 Remote Similarity NPC471724
0.5862 Remote Similarity NPC231477
0.5862 Remote Similarity NPC87489
0.5862 Remote Similarity NPC123724
0.5862 Remote Similarity NPC73875
0.5833 Remote Similarity NPC171789
0.5763 Remote Similarity NPC214570
0.5763 Remote Similarity NPC132635
0.5763 Remote Similarity NPC601223
0.5574 Remote Similarity NPC94755
0.5484 Remote Similarity NPC308041
0.5484 Remote Similarity NPC16350
0.5397 Remote Similarity NPC20388
0.5312 Remote Similarity NPC486193
0.5312 Remote Similarity NPC471720
0.5231 Remote Similarity NPC486187
0.5156 Remote Similarity NPC55309
0.5156 Remote Similarity NPC28252
0.5077 Remote Similarity NPC233836
0.5077 Remote Similarity NPC159046
0.5077 Remote Similarity NPC469400
0.5077 Remote Similarity NPC187376

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC210276 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