Natural Product: NPC117733

Natural Product IDNPC117733
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OMJAWWPQNWDDBQ-HYQORKNFSA-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:0001554] Tetraterpenoids
          • [CHEMONTID:0001277] Carotenoids
            • [CHEMONTID:0001410] Xanthophylls

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 OMJAWWPQNWDDBQ-HYQORKNFSA-N
Standard InCHI InChI=1S/C40H56O2/c1-31(19-13-21-33(3)22-15-24-35(5)27-29-38(41)40(9,10)42)17-11-12-18-32(2)20-14-23-34(4)26-28-37-36(6)25-16-30-39(37,7)8/h11-15,17-24,26-29,38,41-42H,16,25,30H2,1-10H3/b12-11+,19-13+,20-14+,22-15+,28-26+,29-27-,31-17+,32-18+,33-21+,34-23+,35-24+/t38-/m0/s1
SMILES C/C(=CC=CC=C(/C)C=CC=C(/C)C=CC1=C(C)CCCC1(C)C)/C=C/C=C(C)/C=C/C=C(C)/C=C[C@@H](C(C)(C)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   568.43 Volume:   677.782
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Van der Waals volume.
Dense:   0.839 LogP:   5.378
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.084
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.122
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The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   17.0
TPSA:   40.46
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   2.0 Rings:   1.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.217 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.499 Fsp3:   0.4
MCE-18:   36.429
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   1.0 Fluc inhibitor:   0.652
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.171
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.642 Promiscuous compounds:   0.251

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.928 MDCK Permeability:   -4.749
Pgp-inhibitor:   0.008 Pgp-substrate:   0.989
PAMPA:   0.833
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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%):   0.012 30% Bioavailability (F30%):   0.109
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.582
Plasma Protein Binding (PPB):   92.757% Volume Distribution (VD):   0.398
Fu: 7.988%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.663 BCRP inhibitor:   0.014
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.999
CYP2C19-inhibitor:   0.153 CYP2C19-substrate:   0.052
CYP2C9-inhibitor:   0.998 CYP2C9-substrate:   0.262
CYP2D6-inhibitor:   0.998 CYP2D6-substrate:   0.032
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.942
?
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):  9.006 Half-life (T1/2):  0.467

ADMET: Toxicity

hERG Blockers:  0.115 hERG Blockers (10um):  0.373
Human Hepatotoxicity (H-HT):  0.625 Drug-induced Liver Injury (DILI):  0.131
AMES Toxicity:  0.659 Rat Oral Acute Toxicity:  0.821
Maximum Recommended Daily Dose:  0.844 Skin Sensitization:  0.887
Carcinogencity:  0.932 Eye Corrosion:  0.0
Eye Irritation:  0.254 Respiratory Toxicity:  0.709
Drug-induced Neurotoxicity:  0.449 Ototoxicity:  0.789
Hematotoxicity:  0.435 Drug-induced Nephrotoxicity:  0.827
Genotoxicity:  0.597 RPMI-8226 Immunitoxicity:  0.137
A549 Cytotoxicity:  0.155 Hek293 Cytotoxicity:  0.544
BCF:   2.964
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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:   5.119
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.54
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.524
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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
NPO26152 Clavelina oblonga Species Clavelinidae Eukaryota n.a. n.a. n.a. PMID[15568780]
NPO25239 Kadsura peltigera Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26152 Clavelina oblonga Species Clavelinidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25239 Kadsura peltigera Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO25239 Kadsura peltigera Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25239 Kadsura peltigera Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO26152 Clavelina oblonga Species Clavelinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25239 Kadsura peltigera Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[UNPD]

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

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 NPC117733 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
0.7297 Intermediate Similarity NPC17810
0.7297 Intermediate Similarity NPC606095
0.6667 Remote Similarity NPC55412
0.6667 Remote Similarity NPC249645
0.6047 Remote Similarity NPC22019
0.6047 Remote Similarity NPC281986
0.6047 Remote Similarity NPC321568
0.551 Remote Similarity NPC226066
0.5455 Remote Similarity NPC45782
0.54 Remote Similarity NPC254886
0.5102 Remote Similarity NPC329416
0.5102 Remote Similarity NPC317025
0.5102 Remote Similarity NPC326645
0.5102 Remote Similarity NPC317177

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC117733 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
0.7297 Intermediate Similarity NPD8262 Phase 4
0.6667 Remote Similarity NPD4219 Phase 4
0.551 Remote Similarity NPD5325 Clinical (unspecified phase)
0.5102 Remote Similarity NPD4191 Approved
0.5102 Remote Similarity NPD4192 Phase 4
0.5102 Remote Similarity NPD4193 Phase 4
0.5102 Remote Similarity NPD4194 Phase 4

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