Natural Product: NPC587557

Natural Product IDNPC587557
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(10~{R},13~{R},17~{R})-17-[(1~{R})-4-hydroperoxy-4-isopropyl-1-methyl-hex-5-enyl]-10,13-dimethyl-1,2,6,7,8,9,11,12,14,15,16,17-dodecahydrocyclopenta[a]phenanthren-3-one
IUPAC Name (10~{R},13~{R},17~{R})-17-[(1~{R})-4-hydroperoxy-4-isopropyl-1-methyl-hex-5-enyl]-10,13-dimethyl-1,2,6,7,8,9,11,12,14,15,16,17-dodecahydrocyclopenta[a]phenanthren-3-one
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 SICXMLBXUWOBEI-SJTOJMNLSA-N
Standard InCHI InChI=1S/C29H46O3/c1-7-29(32-31,19(2)3)17-12-20(4)24-10-11-25-23-9-8-21-18-22(30)13-15-27(21,5)26(23)14-16-28(24,25)6/h7,18-20,23-26,31H,1,8-17H2,2-6H3/t20-,23?,24-,25?,26?,27+,28-,29?/m1/s1
SMILES C=CC(CC[C@@H](C)[C@H]1CCC2C3CCC4=CC(=O)CC[C@]4(C)C3CC[C@@]21C)(OO)C(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   442.34 Volume:   494.375
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Van der Waals volume.
Dense:   0.895 LogP:   5.959
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.511
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.837
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   22.0
TPSA:   46.53
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.25 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.732 Fsp3:   0.828
MCE-18:   73.321
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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:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.797 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:   0.003
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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:   0.402 Promiscuous compounds:   0.105

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.057 MDCK Permeability:   -5.018
Pgp-inhibitor:   0.854 Pgp-substrate:   0.001
PAMPA:   0.001
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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):   0.0
20% Bioavailability (F20%):   0.188 30% Bioavailability (F30%):   0.805
50% Bioavailability (F50%):   0.99

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.529 MRP1:   0.754
Plasma Protein Binding (PPB):   97.855% Volume Distribution (VD):   -0.036
Fu: 1.7%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.967 BCRP inhibitor:   0.067
BSEP inhibitor:   0.97

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.799
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.02
CYP2C9-inhibitor:   0.974 CYP2C9-substrate:   0.002
CYP2D6-inhibitor:   0.115 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.933
CYP2B6-substrate:   0.998 CYP2C8-inhibitor:   0.998
HLM stability:   0.992
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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):  13.695 Half-life (T1/2):  0.469

ADMET: Toxicity

hERG Blockers:  0.283 hERG Blockers (10um):  0.609
Human Hepatotoxicity (H-HT):  0.787 Drug-induced Liver Injury (DILI):  0.695
AMES Toxicity:  0.61 Rat Oral Acute Toxicity:  0.367
Maximum Recommended Daily Dose:  0.681 Skin Sensitization:  0.972
Carcinogencity:  0.821 Eye Corrosion:  0.082
Eye Irritation:  0.259 Respiratory Toxicity:  0.545
Drug-induced Neurotoxicity:  0.659 Ototoxicity:  0.515
Hematotoxicity:  0.319 Drug-induced Nephrotoxicity:  0.191
Genotoxicity:  0.729 RPMI-8226 Immunitoxicity:  0.098
A549 Cytotoxicity:  0.1 Hek293 Cytotoxicity:  0.675
BCF:   2.337
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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:   5.006
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.273
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.87
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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
NPO16318 Turbinaria conoides Species Sargassaceae Eukaryota n.a. n.a. n.a. PMID[10075746]
NPO16318 Turbinaria conoides Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16318 Turbinaria conoides 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 NPC587557 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
0.7414 Intermediate Similarity NPC489872
0.7222 Intermediate Similarity NPC282593
0.7091 Intermediate Similarity NPC35734
0.7091 Intermediate Similarity NPC159577
0.7091 Intermediate Similarity NPC602429
0.7049 Intermediate Similarity NPC489873
0.6964 Remote Similarity NPC149203
0.6364 Remote Similarity NPC307176
0.6364 Remote Similarity NPC321874
0.6316 Remote Similarity NPC214043
0.6316 Remote Similarity NPC85774
0.629 Remote Similarity NPC320514
0.6207 Remote Similarity NPC115023
0.6102 Remote Similarity NPC237712
0.6 Remote Similarity NPC249312
0.5692 Remote Similarity NPC488870
0.5556 Remote Similarity NPC469948
0.5484 Remote Similarity NPC303613
0.5385 Remote Similarity NPC309603
0.5345 Remote Similarity NPC139397
0.5246 Remote Similarity NPC227064
0.5246 Remote Similarity NPC329043
0.5246 Remote Similarity NPC58841
0.5246 Remote Similarity NPC161423
0.5167 Remote Similarity NPC2634
0.5167 Remote Similarity NPC265782
0.5167 Remote Similarity NPC251929
0.5161 Remote Similarity NPC144258
0.5161 Remote Similarity NPC327115

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC587557 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
0.6364 Remote Similarity NPD4747 Phase 4
0.5902 Remote Similarity NPD6938 Clinical (unspecified phase)
0.5902 Remote Similarity NPD6939 Phase 3
0.5556 Remote Similarity NPD5737 Phase 4
0.5385 Remote Similarity NPD6672 Phase 4
0.5246 Remote Similarity NPD3666 Phase 4
0.5246 Remote Similarity NPD4221 Phase 4
0.5167 Remote Similarity NPD4691 Approved

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