Natural Product: NPC484741

Natural Product IDNPC484741
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ITWIKFICVAIMTA-BKBFHZDGSA-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:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001125] Steroid lactones
          • [CHEMONTID:0001560] Withanolides and derivatives

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 ITWIKFICVAIMTA-BKBFHZDGSA-N
Standard InCHI InChI=1S/C28H38O8/c1-14-15(2)22(31)35-21(20(14)30)25(5,32)28(34)12-11-26(33)17-13-19-27(36-19)9-6-7-18(29)24(27,4)16(17)8-10-23(26,28)3/h6-7,16-17,19-21,30,32-34H,8-13H2,1-5H3/t16-,17+,19+,20-,21+,23-,24-,25-,26+,27+,28-/m0/s1
SMILES CC1=C(C)C(=O)O[C@H]([C@H]1O)[C@@](C)([C@@]1(CC[C@]2([C@@H]3C[C@@H]4[C@@]5(CC=CC(=O)[C@]5(C)[C@H]3CC[C@]12C)O4)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   502.26 Volume:   501.281
?
Van der Waals volume.
Dense:   1.002 LogP:   1.305
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.903
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.59
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   30.0
TPSA:   136.82
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   4.0 Rings:   6.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.331 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.15 Fsp3:   0.786
MCE-18:   163.8
?
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:   0.411 Fluc inhibitor:   0.058
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.082
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.203 Promiscuous compounds:   0.423

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.473 MDCK Permeability:   -4.983
Pgp-inhibitor:   0.0 Pgp-substrate:   0.98
PAMPA:   0.998
?
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):   0.064
20% Bioavailability (F20%):   0.657 30% Bioavailability (F30%):   0.362
50% Bioavailability (F50%):   0.969

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.259 MRP1:   0.987
Plasma Protein Binding (PPB):   84.883% Volume Distribution (VD):   -0.041
Fu: 18.909%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.929
OATP1B3 inhibitor:   0.847 BCRP inhibitor:   0.003
BSEP inhibitor:   0.06

ADMET: Metabolism

CYP1A2-inhibitor:   0.105 CYP1A2-substrate:   0.017
CYP2C19-inhibitor:   0.858 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.014 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.011
CYP3A4-inhibitor:   0.728 CYP3A4-substrate:   0.485
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.326
HLM stability:   0.757
?
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):  6.708 Half-life (T1/2):  3.332

ADMET: Toxicity

hERG Blockers:  0.021 hERG Blockers (10um):  0.145
Human Hepatotoxicity (H-HT):  0.746 Drug-induced Liver Injury (DILI):  0.21
AMES Toxicity:  0.843 Rat Oral Acute Toxicity:  0.677
Maximum Recommended Daily Dose:  0.654 Skin Sensitization:  0.998
Carcinogencity:  0.915 Eye Corrosion:  0.002
Eye Irritation:  0.362 Respiratory Toxicity:  0.569
Drug-induced Neurotoxicity:  0.2 Ototoxicity:  0.559
Hematotoxicity:  0.681 Drug-induced Nephrotoxicity:  0.901
Genotoxicity:  0.998 RPMI-8226 Immunitoxicity:  0.179
A549 Cytotoxicity:  0.597 Hek293 Cytotoxicity:  0.631
BCF:   0.613
?
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:   3.291
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.921
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.206
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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
NPO28734 Physalis peruviana Species Solanaceae Eukaryota n.a. n.a. n.a. PMID[28617598]
NPO28734 Physalis peruviana Species Solanaceae Eukaryota n.a. n.a. n.a. PMID[30649869]
NPO28734 Physalis peruviana Species Solanaceae Eukaryota Whole Fruits n.a. n.a. PMID[32159343]
NPO28734 Physalis peruviana Species Solanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28734 Physalis peruviana Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28734 Physalis peruviana Species Solanaceae 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
NPT858 Cell line LNCaP Homo sapiens IC50 > 2000.0 nM PMID[28617598]
NPT1629 Cell line CWR22R Homo sapiens IC50 = 890.0 nM PMID[28617598]
NPT369 Cell line ACHN Homo sapiens IC50 > 2000.0 nM PMID[28617598]
NPT387 Cell line M14 Homo sapiens IC50 > 2000.0 nM PMID[28617598]
NPT170 Cell line SK-MEL-28 Homo sapiens IC50 > 2000.0 nM PMID[28617598]
NPT859 Cell line HFF Homo sapiens IC50 > 2000.0 nM PMID[28617598]

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 NPC484741 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
0.7714 Intermediate Similarity NPC158285
0.7042 Intermediate Similarity NPC484744
0.6173 Remote Similarity NPC55621
0.6 Remote Similarity NPC484745
0.5823 Remote Similarity NPC125794
0.5823 Remote Similarity NPC171401
0.575 Remote Similarity NPC285729
0.5542 Remote Similarity NPC484714
0.5542 Remote Similarity NPC484736
0.5465 Remote Similarity NPC484719
0.5422 Remote Similarity NPC484712
0.5357 Remote Similarity NPC166213
0.5357 Remote Similarity NPC605398
0.5233 Remote Similarity NPC164523
0.5176 Remote Similarity NPC601815
0.5176 Remote Similarity NPC607008
0.5059 Remote Similarity NPC287423

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC484741 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