Natural Product: NPC480924

Natural Product IDNPC480924
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DVRCRDISEPGHFZ-ZCVOVAIBSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
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 DVRCRDISEPGHFZ-ZCVOVAIBSA-N
Standard InCHI InChI=1S/C30H50O4/c1-25(2)14-15-30(17-31)19(16-25)18-8-9-21-27(5)12-11-22(32)26(3,4)20(27)10-13-28(21,6)29(18,7)23(33)24(30)34/h8,19-24,31-34H,9-17H2,1-7H3/t19-,20-,21+,22-,23-,24+,27-,28+,29-,30+/m0/s1
SMILES CC1(C)CC[C@@]2(CO)[C@@H](C1)C1=CC[C@@H]3[C@@]4(C)CC[C@@H](C(C)(C)[C@@H]4CC[C@@]3(C)[C@]1(C)[C@H]([C@H]2O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   474.37 Volume:   517.178
?
Van der Waals volume.
Dense:   0.917 LogP:   3.53
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.638
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.207
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   26.0
TPSA:   80.92
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   4.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.399 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.078 Fsp3:   0.933
MCE-18:   107.586
?
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:   0.551 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:   0.042
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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:   0.083

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.56 MDCK Permeability:   -5.031
Pgp-inhibitor:   0.001 Pgp-substrate:   0.26
PAMPA:   0.998
?
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%):   0.997 30% Bioavailability (F30%):   0.879
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   1.0 MRP1:   0.84
Plasma Protein Binding (PPB):   91.805% Volume Distribution (VD):   -0.248
Fu: 6.01%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.995
OATP1B3 inhibitor:   0.029 BCRP inhibitor:   0.636
BSEP inhibitor:   0.251

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.007
CYP2C19-inhibitor:   0.955 CYP2C19-substrate:   0.583
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.011 CYP2D6-substrate:   0.008
CYP3A4-inhibitor:   0.018 CYP3A4-substrate:   0.848
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.937
HLM stability:   0.551
?
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):  8.439 Half-life (T1/2):  0.958

ADMET: Toxicity

hERG Blockers:  0.031 hERG Blockers (10um):  0.161
Human Hepatotoxicity (H-HT):  0.483 Drug-induced Liver Injury (DILI):  0.324
AMES Toxicity:  0.77 Rat Oral Acute Toxicity:  0.608
Maximum Recommended Daily Dose:  0.454 Skin Sensitization:  0.993
Carcinogencity:  0.925 Eye Corrosion:  0.007
Eye Irritation:  0.576 Respiratory Toxicity:  0.933
Drug-induced Neurotoxicity:  0.193 Ototoxicity:  0.602
Hematotoxicity:  0.846 Drug-induced Nephrotoxicity:  0.908
Genotoxicity:  0.811 RPMI-8226 Immunitoxicity:  0.126
A549 Cytotoxicity:  0.94 Hek293 Cytotoxicity:  0.737
BCF:   1.921
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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:   3.782
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.063
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.483
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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
NPO40059 Camellia crapnelliana Species Theaceae Eukaryota n.a. n.a. n.a. PMID[29064696]

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
NPT178 Individual protein Protein-tyrosine phosphatase 1B Homo sapiens IC50 = 14360.0 nM PMID[29064696]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT21742 Cell line L02 Homo sapiens Activity > 90.0 % PMID[29064696]

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 NPC480924 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
0.7719 Intermediate Similarity NPC238992
0.7368 Intermediate Similarity NPC237344
0.7241 Intermediate Similarity NPC253807
0.7241 Intermediate Similarity NPC158662
0.7193 Intermediate Similarity NPC474989
0.678 Remote Similarity NPC101475
0.6557 Remote Similarity NPC53744
0.6552 Remote Similarity NPC290598
0.6552 Remote Similarity NPC30590
0.6377 Remote Similarity NPC273668
0.623 Remote Similarity NPC311078
0.623 Remote Similarity NPC34177
0.6129 Remote Similarity NPC235341
0.6032 Remote Similarity NPC470588
0.6029 Remote Similarity NPC480919
0.6 Remote Similarity NPC475263
0.6 Remote Similarity NPC175006
0.5968 Remote Similarity NPC196753
0.5946 Remote Similarity NPC474190
0.5915 Remote Similarity NPC88349
0.5846 Remote Similarity NPC246708
0.5781 Remote Similarity NPC159168
0.5753 Remote Similarity NPC476132
0.5753 Remote Similarity NPC480920
0.5652 Remote Similarity NPC29765
0.5588 Remote Similarity NPC488519
0.5441 Remote Similarity NPC198664
0.5441 Remote Similarity NPC99254
0.5316 Remote Similarity NPC473586
0.5278 Remote Similarity NPC294360
0.5238 Remote Similarity NPC27765
0.5238 Remote Similarity NPC122418
0.5238 Remote Similarity NPC491014
0.5224 Remote Similarity NPC480950
0.5217 Remote Similarity NPC480946
0.5217 Remote Similarity NPC130577
0.5217 Remote Similarity NPC142415
0.5217 Remote Similarity NPC102683
0.5152 Remote Similarity NPC40394
0.5128 Remote Similarity NPC476195
0.5075 Remote Similarity NPC230295
0.5075 Remote Similarity NPC98386

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC480924 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