Natural Product: NPC605568

Natural Product IDNPC605568
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
SOQFUADBXGVECU-JKQCREBTSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL4746328
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 SOQFUADBXGVECU-JKQCREBTSA-N
Standard InCHI InChI=1S/C29H38O13/c1-13-9-10-21(39-16(4)31)28(7)22(40-17(5)32)12-20(38-15(3)30)19(27(35)37-8)11-23-29(36,14(2)26(34)42-23)25(24(13)28)41-18(6)33/h11,14,20-25,36H,1,9-10,12H2,2-8H3/b19-11+/t14-,20+,21-,22-,23-,24+,25-,28+,29-/m0/s1
SMILES C=C1CC[C@H](OC(C)=O)[C@]2(C)[C@@H](OC(C)=O)C[C@@H](OC(C)=O)/C(C(=O)OC)=C[C@@H]3OC(=O)[C@H](C)[C@@]3(O)[C@@H](OC(C)=O)[C@@H]12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   594.23 Volume:   577.652
?
Van der Waals volume.
Dense:   1.029 LogP:   1.694
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.154
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.49
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   26.0
TPSA:   178.03
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.275 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.644 Fsp3:   0.655
MCE-18:   75.0
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.401 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.318
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.027
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.363 Promiscuous compounds:   0.332

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.005 MDCK Permeability:   -4.702
Pgp-inhibitor:   0.998 Pgp-substrate:   0.574
PAMPA:   0.613
?
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):   0.01
20% Bioavailability (F20%):   0.254 30% Bioavailability (F30%):   0.987
50% Bioavailability (F50%):   0.991

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.996
Plasma Protein Binding (PPB):   47.905% Volume Distribution (VD):   -0.33
Fu: 45.005%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.202
BSEP inhibitor:   0.975

ADMET: Metabolism

CYP1A2-inhibitor:   0.003 CYP1A2-substrate:   0.032
CYP2C19-inhibitor:   0.179 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.102
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.792
?
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):  4.244 Half-life (T1/2):  1.284

ADMET: Toxicity

hERG Blockers:  0.007 hERG Blockers (10um):  0.068
Human Hepatotoxicity (H-HT):  0.675 Drug-induced Liver Injury (DILI):  0.969
AMES Toxicity:  0.64 Rat Oral Acute Toxicity:  0.629
Maximum Recommended Daily Dose:  0.736 Skin Sensitization:  0.978
Carcinogencity:  0.697 Eye Corrosion:  0.0
Eye Irritation:  0.022 Respiratory Toxicity:  0.04
Drug-induced Neurotoxicity:  0.339 Ototoxicity:  0.5
Hematotoxicity:  0.667 Drug-induced Nephrotoxicity:  0.864
Genotoxicity:  0.996 RPMI-8226 Immunitoxicity:  0.114
A549 Cytotoxicity:  0.36 Hek293 Cytotoxicity:  0.058
BCF:   0.53
?
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:   3.345
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.112
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.598
?
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
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. n.a. n.a. PMID[10075754]
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. West Pacific Ocean n.a. PMID[11087588]
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. n.a. n.a. PMID[11087588]
NPO25525 Junceella juncea Species Ellisellidae Eukaryota n.a. n.a. n.a. PMID[11809065]
NPO25525 Junceella juncea Species Ellisellidae Eukaryota n.a. Taiwanese gorgonian n.a. PMID[12608873]
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. n.a. n.a. PMID[16499329]
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. n.a. n.a. PMID[18774864]
NPO25525 Junceella juncea Species Ellisellidae Eukaryota n.a. n.a. n.a. PMID[22071302]
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25525 Junceella juncea Species Ellisellidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25525 Junceella juncea Species Ellisellidae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25525 Junceella juncea Species Ellisellidae 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
NPT65 Cell line HepG2 Homo sapiens CC50 > 100000.0 nM PMID[32690259]
NPT28438 Unchecked Unchecked n.a. CC50 > 100000.0 nM PMID[32690259]
NPT963 Organism Hepatitis B virus Hepatitis B virus Inhibition = 1.0 % PMID[32690259]
NPT25056 Cell line BMDM n.a. Inhibition = 49.4 % PMID[36446206]
NPT25056 Cell line BMDM n.a. CC50 > 50000.0 nM PMID[36446206]

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 NPC605568 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
0.8103 Intermediate Similarity NPC610913
0.746 Intermediate Similarity NPC601983
0.746 Intermediate Similarity NPC610470
0.7344 Intermediate Similarity NPC606863
0.7015 Intermediate Similarity NPC600443
0.6613 Remote Similarity NPC606972
0.6515 Remote Similarity NPC483350
0.6269 Remote Similarity NPC606672
0.5775 Remote Similarity NPC606817
0.5714 Remote Similarity NPC3287
0.5672 Remote Similarity NPC183571
0.5652 Remote Similarity NPC483345
0.507 Remote Similarity NPC483344
0.507 Remote Similarity NPC94377

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC605568 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