Natural Product: NPC264602

Natural Product IDNPC264602
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MPHGGQFQYOPNNY-RHQOKDMKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3581991
PubChem CID n.a.
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 MPHGGQFQYOPNNY-RHQOKDMKSA-N
Standard InCHI InChI=1S/C30H50O4/c1-18(16-20(31)24(33)26(4,5)34)19-10-12-28(7)22-9-8-21-25(2,3)23(32)11-13-29(21)17-30(22,29)15-14-27(19,28)6/h18-22,24,31,33-34H,8-17H2,1-7H3/t18-,19-,20-,21+,22+,24+,27-,28+,29-,30+/m1/s1
SMILES O[C@@H]([C@@H](C(O)(C)C)O)C[C@H]([C@H]1CC[C@@]2([C@]1(C)CC[C@@]13[C@H]2CC[C@@H]2[C@]3(C1)CCC(=O)C2(C)C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   474.37 Volume:   517.178
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Van der Waals volume.
Dense:   0.917 LogP:   3.348
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.343
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.626
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   23.0
TPSA:   77.76
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.491 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.713 Fsp3:   0.967
MCE-18:   143.051
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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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.893 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:   0.003
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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:   0.356 Promiscuous compounds:   0.318

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.824 MDCK Permeability:   -4.788
Pgp-inhibitor:   0.017 Pgp-substrate:   0.006
PAMPA:   0.65
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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%):   0.001 30% Bioavailability (F30%):   0.011
50% Bioavailability (F50%):   0.831

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.515 MRP1:   0.201
Plasma Protein Binding (PPB):   81.351% Volume Distribution (VD):   0.134
Fu: 25.565%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.951
BSEP inhibitor:   0.974

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.003
CYP2C19-inhibitor:   0.102 CYP2C19-substrate:   0.006
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.002
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.121
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   0.998
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.965
HLM stability:   0.163
?
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):  11.425 Half-life (T1/2):  0.864

ADMET: Toxicity

hERG Blockers:  0.096 hERG Blockers (10um):  0.248
Human Hepatotoxicity (H-HT):  0.652 Drug-induced Liver Injury (DILI):  0.039
AMES Toxicity:  0.32 Rat Oral Acute Toxicity:  0.294
Maximum Recommended Daily Dose:  0.35 Skin Sensitization:  0.598
Carcinogencity:  0.798 Eye Corrosion:  0.0
Eye Irritation:  0.1 Respiratory Toxicity:  0.364
Drug-induced Neurotoxicity:  0.051 Ototoxicity:  0.771
Hematotoxicity:  0.415 Drug-induced Nephrotoxicity:  0.788
Genotoxicity:  0.913 RPMI-8226 Immunitoxicity:  0.049
A549 Cytotoxicity:  0.11 Hek293 Cytotoxicity:  0.377
BCF:   1.937
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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:   4.319
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.604
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.041
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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
NPO32573 dysoxylum gotadhora Species Meliaceae Eukaryota Leaves and Twigs n.a. n.a. PMID[25945867]

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
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 23.8 % PMID[1507204]
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 48.5 % PMID[12190320]
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 79.1 % DrugMatrix in vivo data: Hematology
NPT113 Cell line RAW264.7 Mus musculus IC50 = 27400.0 nM DrugMatrix in vivo data: Hematology
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 17.9 % DOI[10.1016/j.cropro.2006.02.001]
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 12.8 % DOI[10.1016/j.cropro.2006.02.001]

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 NPC264602 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
0.7692 Intermediate Similarity NPC282275
0.6964 Remote Similarity NPC479660
0.6909 Remote Similarity NPC477858
0.6833 Remote Similarity NPC476174
0.6481 Remote Similarity NPC255650
0.6481 Remote Similarity NPC477857
0.6364 Remote Similarity NPC214770
0.6364 Remote Similarity NPC107704
0.6364 Remote Similarity NPC477856
0.6333 Remote Similarity NPC472744
0.625 Remote Similarity NPC474123
0.6129 Remote Similarity NPC472745
0.5833 Remote Similarity NPC474962
0.5781 Remote Similarity NPC23217
0.5645 Remote Similarity NPC16287
0.5556 Remote Similarity NPC60350
0.5303 Remote Similarity NPC160056
0.5254 Remote Similarity NPC273366
0.5231 Remote Similarity NPC90652
0.5231 Remote Similarity NPC155255
0.5156 Remote Similarity NPC484799
0.5082 Remote Similarity NPC76518
0.5077 Remote Similarity NPC476293

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC264602 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