Natural Product: NPC482052

Natural Product IDNPC482052
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WSWPNGAODCKAHB-IFRVZBAOSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44584641
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 WSWPNGAODCKAHB-IFRVZBAOSA-N
Standard InCHI InChI=1S/C39H54O7/c1-24-15-20-39(33(43)44)22-21-36(4)27(32(39)38(24,6)45)12-13-29-34(2)18-17-30(35(3,23-40)28(34)16-19-37(29,36)5)46-31(42)14-9-25-7-10-26(41)11-8-25/h7-12,14,24,28-30,32,40-41,45H,13,15-23H2,1-6H3,(H,43,44)/b14-9+/t24-,28-,29-,30+,32-,34+,35+,36-,37-,38-,39+/m1/s1
SMILES C[C@@H]1CC[C@@]2(CC[C@]3(C)C(=CC[C@@H]4[C@@]5(C)CC[C@@H]([C@@](C)(CO)[C@@H]5CC[C@@]34C)OC(=O)/C=C/c3ccc(cc3)O)[C@@H]2[C@]1(C)O)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   634.39 Volume:   674.838
?
Van der Waals volume.
Dense:   0.94 LogP:   4.649
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.823
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.642
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   35.0
TPSA:   124.29
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   4.0 Rings:   6.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.154 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.142 Fsp3:   0.692
MCE-18:   165.879
?
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:   0.948 Fluc inhibitor:   0.981
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.222
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.113
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.141 Promiscuous compounds:   0.076

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.711 MDCK Permeability:   -5.201
Pgp-inhibitor:   0.074 Pgp-substrate:   0.001
PAMPA:   1.0
?
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%):   0.721 30% Bioavailability (F30%):   0.165
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.889
Plasma Protein Binding (PPB):   91.676% Volume Distribution (VD):   -0.338
Fu: 7.901%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.4 BCRP inhibitor:   0.001
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.06 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.004 CYP3A4-substrate:   0.997
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.007
?
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):  2.371 Half-life (T1/2):  1.332

ADMET: Toxicity

hERG Blockers:  0.032 hERG Blockers (10um):  0.056
Human Hepatotoxicity (H-HT):  0.728 Drug-induced Liver Injury (DILI):  0.736
AMES Toxicity:  0.405 Rat Oral Acute Toxicity:  0.242
Maximum Recommended Daily Dose:  0.697 Skin Sensitization:  0.997
Carcinogencity:  0.892 Eye Corrosion:  0.001
Eye Irritation:  0.227 Respiratory Toxicity:  0.768
Drug-induced Neurotoxicity:  0.176 Ototoxicity:  0.557
Hematotoxicity:  0.265 Drug-induced Nephrotoxicity:  0.988
Genotoxicity:  0.975 RPMI-8226 Immunitoxicity:  0.042
A549 Cytotoxicity:  0.242 Hek293 Cytotoxicity:  0.563
BCF:   0.617
?
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:   3.921
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.548
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.871
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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
NPO41024 Eriobotrya japonica Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[1279126]
NPO41024 Eriobotrya japonica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO41024 Eriobotrya japonica Species Rosaceae Eukaryota n.a. n.a. Database[FooDB]
NPO41024 Eriobotrya japonica Species Rosaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO41024 Eriobotrya japonica Species Rosaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO41024 Eriobotrya japonica Species Rosaceae Eukaryota n.a. n.a. Database[FooDB]
NPO41024 Eriobotrya japonica Species Rosaceae Eukaryota Fruits n.a. Database[Phenol-Explorer]

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
NPT1452 Cell line C8166 Homo sapiens TC50 = 30.0 ug ml-1 PMID[1279126]
NPT24 Organism Human immunodeficiency virus 1 Human immunodeficiency virus 1 Activity = 0.0 % PMID[1279126]
NPT2517 Organism Human rhinovirus 1B Human rhinovirus 1B Activity = 100.0 % PMID[1279126]
NPT27 Others Unspecified n.a. Activity = 20.0 ug ml-1 PMID[1279126]
NPT338 Organism Sindbis virus Sindbis virus Activity = 100.0 % PMID[1279126]

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 NPC482052 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
0.8111 Intermediate Similarity NPC25491
0.7978 Intermediate Similarity NPC22676
0.7368 Intermediate Similarity NPC482051
0.7083 Intermediate Similarity NPC482049
0.7083 Intermediate Similarity NPC482050
0.7053 Intermediate Similarity NPC172311
0.7 Intermediate Similarity NPC481234
0.7 Intermediate Similarity NPC479431
0.6907 Remote Similarity NPC178093
0.6667 Remote Similarity NPC324798
0.6667 Remote Similarity NPC479742
0.6633 Remote Similarity NPC304110
0.6633 Remote Similarity NPC27518
0.6633 Remote Similarity NPC611516
0.6538 Remote Similarity NPC481235
0.6531 Remote Similarity NPC605663
0.6458 Remote Similarity NPC477874
0.6364 Remote Similarity NPC479744
0.6275 Remote Similarity NPC479745
0.6238 Remote Similarity NPC479739
0.6082 Remote Similarity NPC155192
0.6044 Remote Similarity NPC233012
0.6019 Remote Similarity NPC610795
0.5979 Remote Similarity NPC485587
0.5941 Remote Similarity NPC198621
0.5941 Remote Similarity NPC216940
0.5918 Remote Similarity NPC173569
0.587 Remote Similarity NPC54909
0.5843 Remote Similarity NPC148964
0.5842 Remote Similarity NPC477873
0.5795 Remote Similarity NPC136697
0.5769 Remote Similarity NPC479747
0.5769 Remote Similarity NPC479746
0.5755 Remote Similarity NPC479740
0.5755 Remote Similarity NPC479741
0.5741 Remote Similarity NPC118033
0.5699 Remote Similarity NPC327179
0.5686 Remote Similarity NPC488215
0.5673 Remote Similarity NPC132126
0.5648 Remote Similarity NPC601567
0.5648 Remote Similarity NPC606631
0.5618 Remote Similarity NPC202728
0.5618 Remote Similarity NPC158059
0.56 Remote Similarity NPC248287
0.56 Remote Similarity NPC234548
0.5588 Remote Similarity NPC171007
0.5588 Remote Similarity NPC190849
0.5577 Remote Similarity NPC488214
0.5556 Remote Similarity NPC191412
0.5556 Remote Similarity NPC114159
0.5556 Remote Similarity NPC6818
0.5472 Remote Similarity NPC475482
0.5435 Remote Similarity NPC187933
0.5435 Remote Similarity NPC157113
0.5429 Remote Similarity NPC54627
0.5429 Remote Similarity NPC249817
0.5385 Remote Similarity NPC247139
0.5333 Remote Similarity NPC262970
0.5326 Remote Similarity NPC62516
0.5294 Remote Similarity NPC182249
0.5294 Remote Similarity NPC473591
0.5275 Remote Similarity NPC259733
0.5275 Remote Similarity NPC158371
0.5275 Remote Similarity NPC207922
0.5253 Remote Similarity NPC478273
0.5238 Remote Similarity NPC101863
0.5221 Remote Similarity NPC53520
0.5217 Remote Similarity NPC132824
0.5165 Remote Similarity NPC235053
0.5158 Remote Similarity NPC603658
0.5106 Remote Similarity NPC147232
0.5054 Remote Similarity NPC35239
0.5051 Remote Similarity NPC600756
0.5048 Remote Similarity NPC8102
0.5048 Remote Similarity NPC66894

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC482052 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