Natural Product: NPC57526

Natural Product IDNPC57526
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XQCDLUKPQQDOBO-VEHNERKYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101630930
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001194] Oxosteroids
          • [CHEMONTID:0003060] 16-oxosteroids

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 XQCDLUKPQQDOBO-VEHNERKYSA-N
Standard InCHI InChI=1S/C29H48O/c1-20(2)21-11-12-29(8)24(27(21,6)17-18-30)10-9-22-23-19-25(3,4)13-14-26(23,5)15-16-28(22,29)7/h18,20-21,24H,9-17,19H2,1-8H3/t21-,24+,26+,27-,28+,29+/m0/s1
SMILES CC(C)[C@@H]1CC[C@]2(C)[C@H](CCC3=C4CC(C)(C)CC[C@]4(C)CC[C@@]23C)[C@@]1(C)CC=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   412.37 Volume:   479.432
?
Van der Waals volume.
Dense:   0.86 LogP:   6.032
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.246
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.838
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   22.0
TPSA:   17.07
?
Topological Polar Surface Area.
H-Bond Acceptor:   1.0
H-Bond Donor:   0.0 Rings:   4.0
Heavy Atoms:   1.0

MedChem Properties

QED Drug-Likeness Score:   0.336 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.773 Fsp3:   0.897
MCE-18:   82.618
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.919 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:   0.007
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.925 Promiscuous compounds:   0.037

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.751 MDCK Permeability:   -4.749
Pgp-inhibitor:   0.999 Pgp-substrate:   0.002
PAMPA:   0.241
?
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%):   0.38 30% Bioavailability (F30%):   0.111
50% Bioavailability (F50%):   0.976

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.887 MRP1:   0.91
Plasma Protein Binding (PPB):   98.473% Volume Distribution (VD):   0.715
Fu: 2.45%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.243
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.949 CYP1A2-substrate:   0.999
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.588
CYP2C9-inhibitor:   0.054 CYP2C9-substrate:   0.047
CYP2D6-inhibitor:   0.028 CYP2D6-substrate:   0.783
CYP3A4-inhibitor:   0.996 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.129 CYP2C8-inhibitor:   0.999
HLM stability:   1.0
?
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):  8.675 Half-life (T1/2):  0.089

ADMET: Toxicity

hERG Blockers:  0.076 hERG Blockers (10um):  0.297
Human Hepatotoxicity (H-HT):  0.606 Drug-induced Liver Injury (DILI):  0.267
AMES Toxicity:  0.393 Rat Oral Acute Toxicity:  0.454
Maximum Recommended Daily Dose:  0.616 Skin Sensitization:  0.982
Carcinogencity:  0.831 Eye Corrosion:  0.322
Eye Irritation:  0.822 Respiratory Toxicity:  0.712
Drug-induced Neurotoxicity:  0.342 Ototoxicity:  0.376
Hematotoxicity:  0.432 Drug-induced Nephrotoxicity:  0.881
Genotoxicity:  0.287 RPMI-8226 Immunitoxicity:  0.044
A549 Cytotoxicity:  0.205 Hek293 Cytotoxicity:  0.406
BCF:   2.856
?
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:   5.194
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.251
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.309
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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
NPO17048 Jungermannia subulata Species Jungermanniaceae Eukaryota n.a. n.a. n.a. PMID[11999396]
NPO7166 Streptomyces aureus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO2066 Streptomyces ipomoeae Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO17168 Ageratina riparia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18366 Papaver commutatum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16027 Niphogeton ternata Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15580 Justicia simplex Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO426 Camellia reticulata Species Theaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17488 Rhoiptelea chiliantha Species Juglandaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17048 Jungermannia subulata Species Jungermanniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18903 Chromodoris willani Species Chromodorididae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18434 Dactylosporangium aurantiacum Species Micromonosporaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO17264 Mycena haematopus Species Tricholomataceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18366 Papaver commutatum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16027 Niphogeton ternata Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO15580 Justicia simplex Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16027 Niphogeton ternata Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18366 Papaver commutatum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18366 Papaver commutatum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO15580 Justicia simplex Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO426 Camellia reticulata Species Theaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18434 Dactylosporangium aurantiacum Species Micromonosporaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO16942 Asparagus thunbergianus Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11999 Piptadenia peregrina Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16027 Niphogeton ternata Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5062 Aristolochia tagala Species Aristolochiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7166 Streptomyces aureus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO15832 Ruscus hypophyllum Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13892 Calea clausseniana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16631 Libocedrus yateensis Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15580 Justicia simplex Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18044 Lotus albus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17933 Cylicodaphne sebifera n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO17488 Rhoiptelea chiliantha Species Juglandaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17048 Jungermannia subulata Species Jungermanniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18903 Chromodoris willani Species Chromodorididae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17264 Mycena haematopus Species Tricholomataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18366 Papaver commutatum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17168 Ageratina riparia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2066 Streptomyces ipomoeae Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO16421 Chalciporus piperatus Species Boletaceae 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 NPC57526 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
0.569 Remote Similarity NPC89294

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC57526 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