Natural Product: NPC224430

Natural Product IDNPC224430
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
INDVLXYUCBVVKW-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 314582
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0003567] Ergostane steroids
          • [CHEMONTID:0001403] Ergosterols 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 INDVLXYUCBVVKW-UHFFFAOYSA-N
Standard InCHI InChI=1S/C28H46O/c1-18(2)19(3)7-8-20(4)24-11-12-25-23-10-9-21-17-22(29)13-15-27(21,5)26(23)14-16-28(24,25)6/h9,18,20,22-26,29H,3,7-8,10-17H2,1-2,4-6H3
SMILES CC(C)C(=C)CCC(C)C1CCC2C3CC=C4CC(CCC4(C)C3CCC12C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   398.35 Volume:   462.136
?
Van der Waals volume.
Dense:   0.862 LogP:   6.743
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.809
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.944
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   21.0
TPSA:   20.23
?
Topological Polar Surface Area.
H-Bond Acceptor:   1.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   1.0

MedChem Properties

QED Drug-Likeness Score:   0.474 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.378 Fsp3:   0.857
MCE-18:   69.577
?
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:   0.809 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.008
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.541 Promiscuous compounds:   0.012

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.827 MDCK Permeability:   -4.822
Pgp-inhibitor:   0.505 Pgp-substrate:   0.001
PAMPA:   0.001
?
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%):   0.029 30% Bioavailability (F30%):   0.61
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.766 MRP1:   1.0
Plasma Protein Binding (PPB):   91.604% Volume Distribution (VD):   0.171
Fu: 11.559%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.006
OATP1B3 inhibitor:   0.985 BCRP inhibitor:   0.492
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.025 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.956 CYP2C19-substrate:   0.091
CYP2C9-inhibitor:   0.457 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   1.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.899
?
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):  14.427 Half-life (T1/2):  0.562

ADMET: Toxicity

hERG Blockers:  0.258 hERG Blockers (10um):  0.68
Human Hepatotoxicity (H-HT):  0.66 Drug-induced Liver Injury (DILI):  0.066
AMES Toxicity:  0.075 Rat Oral Acute Toxicity:  0.129
Maximum Recommended Daily Dose:  0.824 Skin Sensitization:  0.112
Carcinogencity:  0.346 Eye Corrosion:  0.007
Eye Irritation:  0.359 Respiratory Toxicity:  0.747
Drug-induced Neurotoxicity:  0.237 Ototoxicity:  0.862
Hematotoxicity:  0.158 Drug-induced Nephrotoxicity:  0.098
Genotoxicity:  0.001 RPMI-8226 Immunitoxicity:  0.036
A549 Cytotoxicity:  0.175 Hek293 Cytotoxicity:  0.313
BCF:   2.762
?
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:   5.2
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.364
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.443
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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
NPO25840 Sargassum fusiforme Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12354 Sargassum pallidum Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO25840 Sargassum fusiforme Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO25840 Sargassum fusiforme Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO4145 Hijikia fusiforme n.a. n.a. n.a. n.a. n.a. n.a. Database[TM-MC]
NPO12354 Sargassum pallidum Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO25840 Sargassum fusiforme Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12354 Sargassum pallidum Species Sargassaceae 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 NPC224430 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 NPC134847
0.8163 Intermediate Similarity NPC162742
0.8163 Intermediate Similarity NPC304309
0.8163 Intermediate Similarity NPC470228
0.8 Intermediate Similarity NPC22105
0.8 Intermediate Similarity NPC34019
0.8 Intermediate Similarity NPC107059
0.7843 Intermediate Similarity NPC136188
0.7843 Intermediate Similarity NPC28657
0.7843 Intermediate Similarity NPC474216
0.7778 Intermediate Similarity NPC477522
0.7736 Intermediate Similarity NPC87604
0.7692 Intermediate Similarity NPC230301
0.7692 Intermediate Similarity NPC198968
0.7692 Intermediate Similarity NPC285893
0.7547 Intermediate Similarity NPC241290
0.7547 Intermediate Similarity NPC164840
0.7547 Intermediate Similarity NPC484739
0.7547 Intermediate Similarity NPC209944
0.7547 Intermediate Similarity NPC155986
0.7407 Intermediate Similarity NPC321381
0.7273 Intermediate Similarity NPC472265
0.7273 Intermediate Similarity NPC59453
0.7222 Intermediate Similarity NPC264245
0.7143 Intermediate Similarity NPC603646
0.7018 Intermediate Similarity NPC473943
0.6981 Remote Similarity NPC600590
0.6897 Remote Similarity NPC488870
0.6852 Remote Similarity NPC154330
0.6727 Remote Similarity NPC84694
0.6727 Remote Similarity NPC113733
0.6727 Remote Similarity NPC143182
0.6724 Remote Similarity NPC155011
0.6667 Remote Similarity NPC221758
0.661 Remote Similarity NPC47761
0.6379 Remote Similarity NPC33913
0.6333 Remote Similarity NPC474164
0.6316 Remote Similarity NPC51014
0.6271 Remote Similarity NPC26117
0.6271 Remote Similarity NPC19607
0.6207 Remote Similarity NPC328714
0.6167 Remote Similarity NPC243985
0.6167 Remote Similarity NPC280710
0.6167 Remote Similarity NPC240650
0.6102 Remote Similarity NPC318495
0.6038 Remote Similarity NPC96319
0.5965 Remote Similarity NPC328313
0.5932 Remote Similarity NPC600056
0.5781 Remote Similarity NPC234335
0.5781 Remote Similarity NPC601043
0.5781 Remote Similarity NPC605412
0.5667 Remote Similarity NPC209620
0.5645 Remote Similarity NPC186688
0.5606 Remote Similarity NPC489072
0.5593 Remote Similarity NPC209430
0.5574 Remote Similarity NPC1272
0.5574 Remote Similarity NPC470614
0.5556 Remote Similarity NPC278648
0.5517 Remote Similarity NPC151519
0.55 Remote Similarity NPC603214
0.5455 Remote Similarity NPC218186
0.5424 Remote Similarity NPC20688
0.537 Remote Similarity NPC111234
0.5345 Remote Similarity NPC81306
0.5333 Remote Similarity NPC76879
0.5303 Remote Similarity NPC176012
0.5238 Remote Similarity NPC474752
0.5238 Remote Similarity NPC474683
0.5217 Remote Similarity NPC235126
0.5217 Remote Similarity NPC242419
0.5167 Remote Similarity NPC109546
0.5167 Remote Similarity NPC317458
0.5167 Remote Similarity NPC47982
0.5161 Remote Similarity NPC31564
0.5161 Remote Similarity NPC145879
0.5161 Remote Similarity NPC85095
0.5152 Remote Similarity NPC13385
0.5147 Remote Similarity NPC91604
0.5143 Remote Similarity NPC147835
0.5143 Remote Similarity NPC253645
0.5143 Remote Similarity NPC85001
0.5143 Remote Similarity NPC95920
0.5082 Remote Similarity NPC28862
0.507 Remote Similarity NPC486119

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC224430 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
0.7843 Intermediate Similarity NPD6942 Phase 4
0.7692 Intermediate Similarity NPD7339 Approved
0.6667 Remote Similarity NPD4786 Phase 1
0.6038 Remote Similarity NPD3701 Pre-clinical
0.5517 Remote Similarity NPD3667 Phase 4

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