Natural Product: NPC125794

Natural Product IDNPC125794
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
UPBUGICUKQIKTJ-KABTZXSUSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 73621
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 UPBUGICUKQIKTJ-KABTZXSUSA-N
Standard InCHI InChI=1S/C28H38O8/c1-14-12-20(35-22(31)15(14)2)25(5,32)27(34)11-10-26(33)17-13-21-28(36-21)19(30)7-6-18(29)24(28,4)16(17)8-9-23(26,27)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](C1)[C@@](C)([C@@]1(CC[C@]2([C@@H]3C[C@@H]4[C@@]5([C@H](C=CC(=O)[C@]5(C)[C@H]3CC[C@]12C)O)O4)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   502.26 Volume:   501.281
?
Van der Waals volume.
Dense:   1.002 LogP:   1.186
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.824
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.385
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   30.0
TPSA:   136.82
?
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:   6.019 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:   0.435 Fluc inhibitor:   0.118
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.039
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.174 Promiscuous compounds:   0.479

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.248 MDCK Permeability:   -4.832
Pgp-inhibitor:   0.0 Pgp-substrate:   0.88
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):   0.026
20% Bioavailability (F20%):   0.631 30% Bioavailability (F30%):   0.586
50% Bioavailability (F50%):   0.987

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.621 MRP1:   0.989
Plasma Protein Binding (PPB):   80.801% Volume Distribution (VD):   -0.062
Fu: 23.384%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.99
OATP1B3 inhibitor:   0.988 BCRP inhibitor:   0.022
BSEP inhibitor:   0.898

ADMET: Metabolism

CYP1A2-inhibitor:   0.783 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.581 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.775 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.162 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.024 CYP3A4-substrate:   0.665
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.993
HLM stability:   0.751
?
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):  3.96 Half-life (T1/2):  3.599

ADMET: Toxicity

hERG Blockers:  0.034 hERG Blockers (10um):  0.196
Human Hepatotoxicity (H-HT):  0.609 Drug-induced Liver Injury (DILI):  0.09
AMES Toxicity:  0.602 Rat Oral Acute Toxicity:  0.567
Maximum Recommended Daily Dose:  0.84 Skin Sensitization:  0.991
Carcinogencity:  0.95 Eye Corrosion:  0.008
Eye Irritation:  0.583 Respiratory Toxicity:  0.76
Drug-induced Neurotoxicity:  0.107 Ototoxicity:  0.455
Hematotoxicity:  0.101 Drug-induced Nephrotoxicity:  0.843
Genotoxicity:  0.962 RPMI-8226 Immunitoxicity:  0.108
A549 Cytotoxicity:  0.106 Hek293 Cytotoxicity:  0.464
BCF:   0.481
?
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:   3.184
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.763
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.884
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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
NPT459 Individual protein Human immunodeficiency virus type 1 reverse transcriptase Human immunodeficiency virus 1 IC50 > 200.0 ug.mL-1 PMID[1710653]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT134 Cell line SK-BR-3 Homo sapiens GI50 = 1700.0 nM PMID[20438092]
NPT82 Cell line MDA-MB-231 Homo sapiens GI50 = 2100.0 nM PMID[20438092]
NPT83 Cell line MCF7 Homo sapiens GI50 = 1000.0 nM PMID[20438092]
NPT396 Cell line T47D Homo sapiens GI50 = 2200.0 nM PMID[20438092]
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 99.4 % PMID[27210437]
NPT113 Cell line RAW264.7 Mus musculus IC50 = 320.0 nM PMID[27210437]
NPT369 Cell line ACHN Homo sapiens IC50 = 563.0 nM PMID[28257574]
NPT858 Cell line LNCaP Homo sapiens IC50 = 160.0 nM PMID[28617598]
NPT1629 Cell line CWR22R Homo sapiens IC50 = 90.0 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]
NPT113 Cell line RAW264.7 Mus musculus IC50 = 1800.0 nM PMID[30649869]
NPT113 Cell line RAW264.7 Mus musculus Activity = 0.9 uM PMID[30649869]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. GI50 = 1100.0 nM PMID[20438092]
NPT2 Others Unspecified n.a. IC50 = 40.0 nM PMID[27210437]
NPT2 Others Unspecified n.a. Inhibition = 99.5 % PMID[27210437]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT71 Cell line HEK293 Homo sapiens Survival = 88.6 % PMID[27210437]
NPT113 Cell line RAW264.7 Mus musculus Survival = 50.1 % PMID[27210437]





 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 NPC125794 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 NPC171401
0.7746 Intermediate Similarity NPC329671
0.7571 Intermediate Similarity NPC158285
0.7162 Intermediate Similarity NPC484745
0.7027 Intermediate Similarity NPC5073
0.6533 Remote Similarity NPC609580
0.6447 Remote Similarity NPC285729
0.641 Remote Similarity NPC609769
0.641 Remote Similarity NPC610140
0.6154 Remote Similarity NPC153700
0.6076 Remote Similarity NPC67569
0.6076 Remote Similarity NPC608655
0.6053 Remote Similarity NPC225826
0.6049 Remote Similarity NPC55621
0.5921 Remote Similarity NPC286528
0.5921 Remote Similarity NPC153440
0.5875 Remote Similarity NPC600975
0.5875 Remote Similarity NPC602010
0.5854 Remote Similarity NPC23786
0.5844 Remote Similarity NPC484742
0.5823 Remote Similarity NPC470493
0.5823 Remote Similarity NPC484741
0.575 Remote Similarity NPC473256
0.5732 Remote Similarity NPC606886
0.5625 Remote Similarity NPC183580
0.5625 Remote Similarity NPC474370
0.561 Remote Similarity NPC604847
0.5584 Remote Similarity NPC484744
0.55 Remote Similarity NPC293112
0.5488 Remote Similarity NPC484690
0.5432 Remote Similarity NPC329736
0.5432 Remote Similarity NPC88326
0.5432 Remote Similarity NPC599946
0.5349 Remote Similarity NPC484719
0.5309 Remote Similarity NPC186525
0.5309 Remote Similarity NPC103045
0.5309 Remote Similarity NPC473274
0.5301 Remote Similarity NPC8369
0.5301 Remote Similarity NPC264954
0.525 Remote Similarity NPC270850
0.525 Remote Similarity NPC305260
0.5185 Remote Similarity NPC140055
0.5185 Remote Similarity NPC107493
0.5185 Remote Similarity NPC484743
0.5185 Remote Similarity NPC167606
0.5119 Remote Similarity NPC484692
0.5116 Remote Similarity NPC473593
0.5062 Remote Similarity NPC50774
0.506 Remote Similarity NPC470878
0.5059 Remote Similarity NPC484736

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC125794 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
0.5185 Remote Similarity NPD7115 Discovery

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