Natural Product: NPC555893

Natural Product IDNPC555893
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(1~{S},3~{R},5~{S},7~{R},9~{R},10~{R},12~{R},14~{R},15~{S},18~{R},19~{R},22~{S},23~{R})-10,22-dihydroxy-7,18-dimethyl-19-(5-oxo-2~{H}-furan-3-yl)spiro[4,6,11-trioxahexacyclo[12.11.0.0^{3,12}.0^{5,10}.0^{15,23}.0^{18,22}]pentacosane-9,2'-5~{H}-thiazole]-14-carbaldehyde
IUPAC Name (1~{S},3~{R},5~{S},7~{R},9~{R},10~{R},12~{R},14~{R},15~{S},18~{R},19~{R},22~{S},23~{R})-10,22-dihydroxy-7,18-dimethyl-19-(5-oxo-2~{H}-furan-3-yl)spiro[4,6,11-trioxahexacyclo[12.11.0.0^{3,12}.0^{5,10}.0^{15,23}.0^{18,22}]pentacosane-9,2'-5~{H}-thiazole]-14-carbaldehyde
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 DONIPVCAKBPJLH-DMSJIHDJSA-N
Standard InCHI InChI=1S/C31H41NO8S/c1-17-13-30(32-9-10-41-30)31(36)26(38-17)39-23-12-19-3-4-22-21(28(19,16-33)14-24(23)40-31)5-7-27(2)20(6-8-29(22,27)35)18-11-25(34)37-15-18/h9,11,16-17,19-24,26,35-36H,3-8,10,12-15H2,1-2H3/t17-,19+,20-,21+,22-,23-,24-,26+,27-,28-,29+,30-,31-/m1/s1
SMILES C[C@@H]1C[C@]2(N=CCS2)[C@]2(O)O[C@@H]3C[C@@]4(C=O)[C@@H](CC[C@@H]5[C@@H]4CC[C@]4(C)[C@@H](C6=CC(=O)OC6)CC[C@]54O)C[C@H]3O[C@@H]2O1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   587.26 Volume:   565.562
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Van der Waals volume.
Dense:   1.038 LogP:   1.417
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.007
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.549
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   42.0
TPSA:   123.88
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   2.0 Rings:   8.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.285 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.429 Fsp3:   0.839
MCE-18:   188.263
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.629 Fluc inhibitor:   0.001
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.005
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.003
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.079 Promiscuous compounds:   0.3

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.292 MDCK Permeability:   -4.835
Pgp-inhibitor:   0.186 Pgp-substrate:   0.647
PAMPA:   0.48
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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):   0.002
20% Bioavailability (F20%):   0.682 30% Bioavailability (F30%):   0.623
50% Bioavailability (F50%):   0.986

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.117 MRP1:   0.512
Plasma Protein Binding (PPB):   94.118% Volume Distribution (VD):   0.381
Fu: 4.393%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.99
OATP1B3 inhibitor:   0.967 BCRP inhibitor:   0.017
BSEP inhibitor:   0.993

ADMET: Metabolism

CYP1A2-inhibitor:   0.076 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.095 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.077 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   0.997 CYP3A4-substrate:   0.013
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.016
HLM stability:   0.346
?
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):  2.579 Half-life (T1/2):  2.708

ADMET: Toxicity

hERG Blockers:  0.051 hERG Blockers (10um):  0.36
Human Hepatotoxicity (H-HT):  0.757 Drug-induced Liver Injury (DILI):  0.755
AMES Toxicity:  0.997 Rat Oral Acute Toxicity:  0.996
Maximum Recommended Daily Dose:  1.0 Skin Sensitization:  1.0
Carcinogencity:  0.991 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.972
Drug-induced Neurotoxicity:  0.049 Ototoxicity:  0.399
Hematotoxicity:  0.945 Drug-induced Nephrotoxicity:  0.992
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.856
A549 Cytotoxicity:  0.51 Hek293 Cytotoxicity:  0.996
BCF:   0.628
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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:   3.618
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.29
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.651
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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
NPO46925 Asclepias curassavica L. Genus Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO63778 Asclepias fruticosa R.Br. Genus Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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 NPC555893 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 NPC163365
0.8353 Intermediate Similarity NPC85369
0.8313 Intermediate Similarity NPC33934
0.7294 Intermediate Similarity NPC253456
0.7294 Intermediate Similarity NPC159338
0.7294 Intermediate Similarity NPC171619
0.7241 Intermediate Similarity NPC91
0.6818 Remote Similarity NPC277374
0.6774 Remote Similarity NPC480905
0.6667 Remote Similarity NPC488161
0.6667 Remote Similarity NPC16569
0.6596 Remote Similarity NPC470094
0.6526 Remote Similarity NPC473040
0.6495 Remote Similarity NPC476221
0.6495 Remote Similarity NPC477709
0.6044 Remote Similarity NPC104585
0.5957 Remote Similarity NPC488162
0.5957 Remote Similarity NPC298783
0.5957 Remote Similarity NPC93416
0.5938 Remote Similarity NPC142756
0.5895 Remote Similarity NPC157817
0.5851 Remote Similarity NPC42670
0.5851 Remote Similarity NPC19124
0.5625 Remote Similarity NPC329905
0.54 Remote Similarity NPC225385
0.5354 Remote Similarity NPC488158
0.5354 Remote Similarity NPC488159
0.5306 Remote Similarity NPC609258
0.5294 Remote Similarity NPC196931
0.5258 Remote Similarity NPC488160
0.5155 Remote Similarity NPC88668
0.5155 Remote Similarity NPC250556
0.5104 Remote Similarity NPC469750
0.5104 Remote Similarity NPC480915
0.51 Remote Similarity NPC474466
0.5098 Remote Similarity NPC488163
0.5052 Remote Similarity NPC480914

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC555893 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
0.7065 Intermediate Similarity NPD7625 Phase 1
0.5155 Remote Similarity NPD7507 Pre-clinical

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