Natural Product: NPC484718

Natural Product IDNPC484718
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MLNSIBIIWDOAGC-GRVQADPTSA-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 MLNSIBIIWDOAGC-GRVQADPTSA-N
Standard InCHI InChI=1S/C30H40O9/c1-17-14-24(39-25(34)20(17)15-31)27(4,35)30(37)13-12-29(36)22-9-8-19-6-5-7-23(33)26(19,3)21(22)10-11-28(29,30)16-38-18(2)32/h5,7-8,21-22,24,31,35-37H,6,9-16H2,1-4H3/t21-,22+,24+,26-,27-,28+,29+,30+/m0/s1
SMILES CC1=C(CO)C(=O)O[C@H](C1)[C@@](C)([C@@]1(CC[C@]2([C@@H]3CC=C4CC=CC(=O)[C@]4(C)[C@H]3CC[C@]12COC(=O)C)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   544.27 Volume:   547.947
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Van der Waals volume.
Dense:   0.993 LogP:   1.37
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.694
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.453
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   29.0
TPSA:   150.59
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   4.0 Rings:   5.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.301 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.545 Fsp3:   0.7
MCE-18:   99.412
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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:   0.133 Fluc inhibitor:   0.084
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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:   0.014
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.336 Promiscuous compounds:   0.508

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.932 MDCK Permeability:   -4.635
Pgp-inhibitor:   0.002 Pgp-substrate:   0.106
PAMPA:   0.989
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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):   0.02
20% Bioavailability (F20%):   0.394 30% Bioavailability (F30%):   0.758
50% Bioavailability (F50%):   0.95

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.048 MRP1:   0.941
Plasma Protein Binding (PPB):   92.153% Volume Distribution (VD):   0.019
Fu: 5.876%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.996
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.001
BSEP inhibitor:   0.985

ADMET: Metabolism

CYP1A2-inhibitor:   0.162 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.016 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.031 CYP3A4-substrate:   0.342
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.996
HLM stability:   0.322
?
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):  2.366 Half-life (T1/2):  2.038

ADMET: Toxicity

hERG Blockers:  0.015 hERG Blockers (10um):  0.136
Human Hepatotoxicity (H-HT):  0.542 Drug-induced Liver Injury (DILI):  0.138
AMES Toxicity:  0.353 Rat Oral Acute Toxicity:  0.149
Maximum Recommended Daily Dose:  0.741 Skin Sensitization:  0.988
Carcinogencity:  0.88 Eye Corrosion:  0.0
Eye Irritation:  0.077 Respiratory Toxicity:  0.183
Drug-induced Neurotoxicity:  0.113 Ototoxicity:  0.542
Hematotoxicity:  0.253 Drug-induced Nephrotoxicity:  0.657
Genotoxicity:  0.821 RPMI-8226 Immunitoxicity:  0.099
A549 Cytotoxicity:  0.059 Hek293 Cytotoxicity:  0.448
BCF:   0.597
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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:   3.415
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.273
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.468
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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
NPO40288 Physalis crassifolia Species Solanaceae Eukaryota n.a. n.a. n.a. PMID[27071003]

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 = 3700.0 nM PMID[27071003]
NPT83 Cell line MCF7 Homo sapiens IC50 > 5000.0 nM PMID[27071003]
NPT397 Cell line NCI-H460 Homo sapiens IC50 > 5000.0 nM PMID[27071003]
NPT395 Cell line SF-268 Homo sapiens IC50 > 5000.0 nM PMID[27071003]
NPT23103 Cell line PC-3M Homo sapiens IC50 > 5000.0 nM PMID[27071003]

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 NPC484718 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
0.8873 High Similarity NPC5292
0.8267 Intermediate Similarity NPC484725
0.7917 Intermediate Similarity NPC107493
0.7089 Intermediate Similarity NPC484717
0.6933 Remote Similarity NPC153440
0.6667 Remote Similarity NPC46570
0.6667 Remote Similarity NPC103045
0.6538 Remote Similarity NPC191620
0.6375 Remote Similarity NPC470961
0.6136 Remote Similarity NPC484715
0.6105 Remote Similarity NPC484726
0.5926 Remote Similarity NPC79579
0.5814 Remote Similarity NPC55621
0.5802 Remote Similarity NPC176840
0.5802 Remote Similarity NPC190286
0.5714 Remote Similarity NPC484716
0.5476 Remote Similarity NPC29133
0.5476 Remote Similarity NPC44428
0.5476 Remote Similarity NPC78691
0.5422 Remote Similarity NPC484742
0.5238 Remote Similarity NPC225826
0.5053 Remote Similarity NPC484720

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC484718 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