Natural Product: NPC35530

Natural Product IDNPC35530
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KWVISVAMQJWJSZ-WUBAUXGGSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 31342
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0002724] Steroidal alkaloids
          • [CHEMONTID:0001704] Spirosolanes 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 KWVISVAMQJWJSZ-WUBAUXGGSA-N
Standard InCHI InChI=1S/C27H43NO2/c1-16-7-12-27(28-15-16)17(2)24-23(30-27)14-22-20-6-5-18-13-19(29)8-10-25(18,3)21(20)9-11-26(22,24)4/h5,16-17,19-24,28-29H,6-15H2,1-4H3/t16-,17+,19+,20-,21+,22+,23+,24+,25+,26+,27?/m1/s1
SMILES C[C@@H]1CCC2([C@@H](C)[C@H]3[C@H](C[C@H]4[C@@H]5CC=C6C[C@H](CC[C@]6(C)[C@H]5CC[C@]34C)O)O2)NC1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   413.33 Volume:   450.15
?
Van der Waals volume.
Dense:   0.918 LogP:   4.815
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.179
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.942
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The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   30.0
TPSA:   41.49
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   6.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.53 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.394 Fsp3:   0.926
MCE-18:   137.077
?
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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.907 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:   0.008
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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:   0.004 Promiscuous compounds:   0.092

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.143 MDCK Permeability:   -4.928
Pgp-inhibitor:   0.051 Pgp-substrate:   0.548
PAMPA:   0.113
?
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%):   0.005 30% Bioavailability (F30%):   0.023
50% Bioavailability (F50%):   0.848

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.866 MRP1:   0.918
Plasma Protein Binding (PPB):   61.485% Volume Distribution (VD):   0.081
Fu: 41.77%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.843
BSEP inhibitor:   0.937

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.063
CYP2D6-inhibitor:   0.018 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.244 CYP3A4-substrate:   0.911
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.181
HLM stability:   0.18
?
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):  16.64 Half-life (T1/2):  1.241

ADMET: Toxicity

hERG Blockers:  0.268 hERG Blockers (10um):  0.442
Human Hepatotoxicity (H-HT):  0.585 Drug-induced Liver Injury (DILI):  0.352
AMES Toxicity:  0.347 Rat Oral Acute Toxicity:  0.31
Maximum Recommended Daily Dose:  0.913 Skin Sensitization:  0.954
Carcinogencity:  0.829 Eye Corrosion:  0.058
Eye Irritation:  0.593 Respiratory Toxicity:  0.818
Drug-induced Neurotoxicity:  0.201 Ototoxicity:  0.476
Hematotoxicity:  0.092 Drug-induced Nephrotoxicity:  0.42
Genotoxicity:  0.038 RPMI-8226 Immunitoxicity:  0.102
A549 Cytotoxicity:  0.658 Hek293 Cytotoxicity:  0.658
BCF:   1.971
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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:   3.673
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.939
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.419
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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
NPO2211 Solanum nigrum Species Solanaceae Eukaryota Whole plant n.a. steroidal saponins PMID[16933867]
NPO2211 Solanum nigrum Species Solanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2211 Solanum nigrum Species Solanaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2211 Solanum nigrum Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2211 Solanum nigrum Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2211 Solanum nigrum Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2211 Solanum nigrum 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

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 NPC35530 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 NPC147835
1.0 High Similarity NPC253645
1.0 High Similarity NPC85001
1.0 High Similarity NPC95920
0.7183 Intermediate Similarity NPC485606
0.6286 Remote Similarity NPC155985
0.6286 Remote Similarity NPC601115
0.6136 Remote Similarity NPC15249
0.6136 Remote Similarity NPC25455
0.5775 Remote Similarity NPC474164
0.5745 Remote Similarity NPC122819
0.5658 Remote Similarity NPC235126
0.5658 Remote Similarity NPC242419
0.5625 Remote Similarity NPC150057
0.5625 Remote Similarity NPC147753
0.557 Remote Similarity NPC212874
0.5513 Remote Similarity NPC486119
0.5333 Remote Similarity NPC176012
0.5294 Remote Similarity NPC221758
0.5288 Remote Similarity NPC287885
0.5256 Remote Similarity NPC309493
0.5147 Remote Similarity NPC162742
0.5147 Remote Similarity NPC304309
0.5147 Remote Similarity NPC470228
0.5143 Remote Similarity NPC134847
0.5139 Remote Similarity NPC33913
0.5139 Remote Similarity NPC59453
0.5072 Remote Similarity NPC22105
0.5072 Remote Similarity NPC34019
0.5072 Remote Similarity NPC107059
0.5072 Remote Similarity NPC600590
0.507 Remote Similarity NPC51014

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC35530 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
0.5745 Remote Similarity NPD8449 Approved
0.5625 Remote Similarity NPD8450 Suspended
0.5294 Remote Similarity NPD4786 Phase 1

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