Natural Product: NPC17983

Natural Product IDNPC17983
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
CDRUYXCOLRASFI-LDIHZWHXSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 90862033
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000257] Sphingolipids
        • [CHEMONTID:0003258] Glycosphingolipids

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 CDRUYXCOLRASFI-LDIHZWHXSA-N
Standard InCHI InChI=1S/C40H77NO10/c1-3-5-7-9-11-13-15-17-19-21-23-25-27-32(43)35(45)31(30-50-40-38(48)37(47)36(46)34(29-42)51-40)41-39(49)33(44)28-26-24-22-20-18-16-14-12-10-8-6-4-2/h13,15,31-38,40,42-48H,3-12,14,16-30H2,1-2H3,(H,41,49)/t31-,32+,33+,34+,35-,36+,37-,38+,40+/m0/s1
SMILES CCCCCCC=CCCCCCC[C@H]([C@H]([C@H](CO[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)N=C([C@@H](CCCCCCCCCCCCCC)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   731.55 Volume:   785.466
?
Van der Waals volume.
Dense:   0.931 LogP:   7.214
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.846
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.947
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The logarithm of aqueous solubility value.
Rotatable Bonds:   33.0 Rigid Bonds:   8.0
TPSA:   192.66
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   8.0 Rings:   1.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.017 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.989 Fsp3:   0.925
MCE-18:   27.688
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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:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.719 Fluc inhibitor:   0.039
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.01
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.04 Promiscuous compounds:   0.056

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.373 MDCK Permeability:   -4.775
Pgp-inhibitor:   0.0 Pgp-substrate:   0.68
PAMPA:   0.002
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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):   0.997
20% Bioavailability (F20%):   0.994 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.7
Plasma Protein Binding (PPB):   96.97% Volume Distribution (VD):   0.301
Fu: 2.713%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.992
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.694
BSEP inhibitor:   0.003

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.996 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.222 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.0
?
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):  2.072 Half-life (T1/2):  3.097

ADMET: Toxicity

hERG Blockers:  0.199 hERG Blockers (10um):  0.272
Human Hepatotoxicity (H-HT):  0.989 Drug-induced Liver Injury (DILI):  0.035
AMES Toxicity:  0.057 Rat Oral Acute Toxicity:  0.005
Maximum Recommended Daily Dose:  0.006 Skin Sensitization:  1.0
Carcinogencity:  0.023 Eye Corrosion:  0.004
Eye Irritation:  0.936 Respiratory Toxicity:  0.575
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.941
Hematotoxicity:  0.006 Drug-induced Nephrotoxicity:  0.411
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.035
A549 Cytotoxicity:  0.992 Hek293 Cytotoxicity:  0.215
BCF:   1.444
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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:   5.445
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.331
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.311
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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
NPO17830 Adonis aleppica Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19048 Pinellia ternata Species Araceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3734 Vigna umbellata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18558 Abies alba Species Pinaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO19048 Pinellia ternata Species Araceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO18558 Abies alba Species Pinaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18116 Dregea volubilis Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19048 Pinellia ternata Species Araceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19048 Pinellia ternata Species Araceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3734 Vigna umbellata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO19048 Pinellia ternata Species Araceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO17830 Adonis aleppica Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18558 Abies alba Species Pinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3734 Vigna umbellata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14003 Crotalaria lachnosema Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19048 Pinellia ternata Species Araceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18116 Dregea volubilis Species Apocynaceae 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 NPC17983 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 NPC61894
1.0 High Similarity NPC297079
0.8065 Intermediate Similarity NPC263545
0.8065 Intermediate Similarity NPC473950
0.8065 Intermediate Similarity NPC111567
0.8065 Intermediate Similarity NPC186840
0.8065 Intermediate Similarity NPC144916
0.8065 Intermediate Similarity NPC486421
0.8065 Intermediate Similarity NPC309898
0.8065 Intermediate Similarity NPC273493
0.8065 Intermediate Similarity NPC475125
0.8065 Intermediate Similarity NPC486419
0.8065 Intermediate Similarity NPC15851
0.8065 Intermediate Similarity NPC115448
0.8065 Intermediate Similarity NPC20819
0.8065 Intermediate Similarity NPC486418
0.8065 Intermediate Similarity NPC473604
0.8065 Intermediate Similarity NPC486420
0.8065 Intermediate Similarity NPC479188
0.8065 Intermediate Similarity NPC81468
0.7692 Intermediate Similarity NPC158445
0.7692 Intermediate Similarity NPC157353
0.7692 Intermediate Similarity NPC282088
0.7538 Intermediate Similarity NPC156782
0.7538 Intermediate Similarity NPC54961
0.7042 Intermediate Similarity NPC8098
0.7042 Intermediate Similarity NPC183449
0.7042 Intermediate Similarity NPC197294
0.697 Remote Similarity NPC282705
0.697 Remote Similarity NPC182632
0.6716 Remote Similarity NPC242503
0.6714 Remote Similarity NPC3568
0.6714 Remote Similarity NPC17290
0.6714 Remote Similarity NPC192066
0.6714 Remote Similarity NPC256570
0.6667 Remote Similarity NPC43074
0.6667 Remote Similarity NPC139782
0.6667 Remote Similarity NPC74672
0.6667 Remote Similarity NPC209047
0.6081 Remote Similarity NPC23454
0.6081 Remote Similarity NPC70323
0.6081 Remote Similarity NPC262312
0.6081 Remote Similarity NPC35269
0.6 Remote Similarity NPC45313
0.5932 Remote Similarity NPC217095
0.5932 Remote Similarity NPC264417
0.5915 Remote Similarity NPC475603
0.5915 Remote Similarity NPC600808
0.5769 Remote Similarity NPC201128
0.5479 Remote Similarity NPC602861
0.5405 Remote Similarity NPC473581
0.5286 Remote Similarity NPC488689
0.5147 Remote Similarity NPC469469
0.5085 Remote Similarity NPC145627
0.5068 Remote Similarity NPC21693

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC17983 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
0.6667 Remote Similarity NPD8522 Clinical (unspecified phase)

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