Natural Product: NPC96443

Natural Product IDNPC96443
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
CJCDIECVGAPJFT-BJEYKFBUSA-N
IUPAC Name n.a.
Synonyms 11Alpha-Hydroxygedunin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL480303
PubChem CID 16085332
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids
          • [CHEMONTID:0002380] Limonoids

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 CJCDIECVGAPJFT-BJEYKFBUSA-N
Standard InCHI InChI=1S/C28H34O8/c1-14(29)34-19-11-17-24(2,3)18(31)7-9-25(17,4)20-16(30)12-26(5)21(15-8-10-33-13-15)35-23(32)22-28(26,36-22)27(19,20)6/h7-10,13,16-17,19-22,30H,11-12H2,1-6H3/t16-,17+,19-,20-,21+,22-,25+,26+,27-,28-/m1/s1
SMILES CC(=O)O[C@@H]1C[C@H]2C(C)(C)C(=O)C=C[C@]2(C)[C@H]2[C@@H](C[C@@]3(C)[C@H](c4ccoc4)OC(=O)[C@@H]4[C@@]3([C@]12C)O4)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   498.23 Volume:   496.008
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Van der Waals volume.
Dense:   1.004 LogP:   1.92
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.099
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.604
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   31.0
TPSA:   115.57
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   1.0 Rings:   6.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.486 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.777 Fsp3:   0.679
MCE-18:   195.787
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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:   0.432 Fluc inhibitor:   0.008
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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:   0.001
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.07 Promiscuous compounds:   0.47

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.056 MDCK Permeability:   -4.681
Pgp-inhibitor:   0.858 Pgp-substrate:   0.152
PAMPA:   0.961
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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):   0.024
20% Bioavailability (F20%):   0.745 30% Bioavailability (F30%):   0.576
50% Bioavailability (F50%):   0.961

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.225 MRP1:   0.966
Plasma Protein Binding (PPB):   76.113% Volume Distribution (VD):   -0.111
Fu: 23.837%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.971
OATP1B3 inhibitor:   0.771 BCRP inhibitor:   0.127
BSEP inhibitor:   0.964

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.617 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.009
CYP3A4-inhibitor:   0.983 CYP3A4-substrate:   0.823
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.728
HLM stability:   0.156
?
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):  7.835 Half-life (T1/2):  0.933

ADMET: Toxicity

hERG Blockers:  0.07 hERG Blockers (10um):  0.46
Human Hepatotoxicity (H-HT):  0.422 Drug-induced Liver Injury (DILI):  0.784
AMES Toxicity:  0.672 Rat Oral Acute Toxicity:  0.972
Maximum Recommended Daily Dose:  0.991 Skin Sensitization:  0.966
Carcinogencity:  0.753 Eye Corrosion:  0.005
Eye Irritation:  0.867 Respiratory Toxicity:  0.986
Drug-induced Neurotoxicity:  0.27 Ototoxicity:  0.314
Hematotoxicity:  0.476 Drug-induced Nephrotoxicity:  0.809
Genotoxicity:  0.995 RPMI-8226 Immunitoxicity:  0.393
A549 Cytotoxicity:  0.036 Hek293 Cytotoxicity:  0.214
BCF:   0.803
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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:   3.554
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.484
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.984
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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
NPO29947 Cedrela sinensis Species Meliaceae Eukaryota n.a. n.a. n.a. PMID[16989525]
NPO29947 Cedrela sinensis Species Meliaceae Eukaryota n.a. cortex n.a. PMID[16989525]
NPO29947 Cedrela sinensis Species Meliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT168 Cell line P388 Mus musculus IC50 = 71.0 ug.mL-1 PMID[26654828]

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 NPC96443 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
1.0 High Similarity NPC290400
0.7662 Intermediate Similarity NPC209364
0.7662 Intermediate Similarity NPC286722
0.7662 Intermediate Similarity NPC605015
0.7532 Intermediate Similarity NPC51568
0.7532 Intermediate Similarity NPC234660
0.7468 Intermediate Similarity NPC473473
0.7468 Intermediate Similarity NPC475295
0.6265 Remote Similarity NPC5079
0.625 Remote Similarity NPC302392
0.6098 Remote Similarity NPC60973
0.6098 Remote Similarity NPC605384
0.6092 Remote Similarity NPC473753
0.6047 Remote Similarity NPC473766
0.5833 Remote Similarity NPC107646
0.5765 Remote Similarity NPC134254
0.5765 Remote Similarity NPC335761
0.5698 Remote Similarity NPC302369
0.5568 Remote Similarity NPC475381
0.5556 Remote Similarity NPC476853
0.5556 Remote Similarity NPC476856
0.5529 Remote Similarity NPC602263
0.5506 Remote Similarity NPC23387
0.5506 Remote Similarity NPC126723
0.5495 Remote Similarity NPC476858
0.5275 Remote Similarity NPC611267
0.5169 Remote Similarity NPC197596
0.5165 Remote Similarity NPC476861
0.5165 Remote Similarity NPC476850
0.5056 Remote Similarity NPC39986
0.5055 Remote Similarity NPC476857
0.5055 Remote Similarity NPC609366

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC96443 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