Natural Product: NPC472738

Natural Product IDNPC472738
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
SWUCFBDPUPIURE-ZNJAMJCFSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3581940
PubChem CID n.a.
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 SWUCFBDPUPIURE-ZNJAMJCFSA-N
Standard InCHI InChI=1S/C30H48O3/c1-18(17-31)19-10-12-27(4)14-15-29(6)20(24(19)27)8-9-22-28(5)13-11-23(33)26(2,3)25(28)21(32)16-30(22,29)7/h19-22,24-25,31-32H,1,8-17H2,2-7H3/t19-,20+,21+,22+,24+,25-,27+,28+,29+,30+/m0/s1
SMILES OCC(=C)[C@@H]1CC[C@]2([C@H]1[C@H]1CC[C@H]3[C@@]([C@]1(C)CC2)(C)C[C@H]([C@@H]1[C@]3(C)CCC(=O)C1(C)C)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   456.36 Volume:   505.751
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Van der Waals volume.
Dense:   0.902 LogP:   3.616
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.584
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.167
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   27.0
TPSA:   57.53
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.488 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.014 Fsp3:   0.9
MCE-18:   102.667
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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:   0.87 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:   0.001
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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:   0.387 Promiscuous compounds:   0.387

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.349 MDCK Permeability:   -4.992
Pgp-inhibitor:   0.1 Pgp-substrate:   0.05
PAMPA:   0.611
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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%):   0.017 30% Bioavailability (F30%):   0.266
50% Bioavailability (F50%):   0.88

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.519 MRP1:   0.932
Plasma Protein Binding (PPB):   95.003% Volume Distribution (VD):   0.246
Fu: 5.797%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.132
BSEP inhibitor:   0.86

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.098 CYP2C19-substrate:   0.075
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.004
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.999
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.911
HLM stability:   0.209
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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):  10.184 Half-life (T1/2):  0.507

ADMET: Toxicity

hERG Blockers:  0.052 hERG Blockers (10um):  0.169
Human Hepatotoxicity (H-HT):  0.637 Drug-induced Liver Injury (DILI):  0.267
AMES Toxicity:  0.305 Rat Oral Acute Toxicity:  0.275
Maximum Recommended Daily Dose:  0.439 Skin Sensitization:  0.966
Carcinogencity:  0.888 Eye Corrosion:  0.038
Eye Irritation:  0.438 Respiratory Toxicity:  0.702
Drug-induced Neurotoxicity:  0.15 Ototoxicity:  0.662
Hematotoxicity:  0.808 Drug-induced Nephrotoxicity:  0.76
Genotoxicity:  0.712 RPMI-8226 Immunitoxicity:  0.054
A549 Cytotoxicity:  0.195 Hek293 Cytotoxicity:  0.452
BCF:   1.472
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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:   3.731
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.262
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.612
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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
NPO32825 cassine xylocarpa Species Celastraceae Eukaryota dried stems Ahuachapan, El Salvado n.a. PMID[25927586]

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
NPT460 Cell line MT2 Homo sapiens CC50 = 20000.0 nM PMID[23249297]
NPT24 Organism Human immunodeficiency virus 1 Human immunodeficiency virus 1 Inhibition > 50.0 % PMID[12027740]
NPT24 Organism Human immunodeficiency virus 1 Human immunodeficiency virus 1 IC50 = 9500.0 nM PMID[10727804]
NPT2 Others Unspecified n.a. Ratio CC50/IC50 = 2.1 n.a. PMID[19743809]

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 NPC472738 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
0.8246 Intermediate Similarity NPC472739
0.7414 Intermediate Similarity NPC103754
0.7241 Intermediate Similarity NPC23884
0.7167 Intermediate Similarity NPC474482
0.6667 Remote Similarity NPC4643
0.6452 Remote Similarity NPC475745
0.6154 Remote Similarity NPC292553
0.6 Remote Similarity NPC43300
0.5938 Remote Similarity NPC474484
0.5902 Remote Similarity NPC14112
0.5781 Remote Similarity NPC475726
0.5714 Remote Similarity NPC159497
0.5652 Remote Similarity NPC474719
0.5588 Remote Similarity NPC193907
0.5556 Remote Similarity NPC248830
0.5556 Remote Similarity NPC212241
0.5224 Remote Similarity NPC73064
0.5152 Remote Similarity NPC201459
0.5152 Remote Similarity NPC74363

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC472738 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