Natural Product: NPC487659

Natural Product IDNPC487659
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
LIPZGVKJZMDGAP-SFEZYXITSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 122180302
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0001819] Isoindoles and derivatives
        • [CHEMONTID:0002496] Isoindolines
          • [CHEMONTID:0001820] Isoindolones

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 LIPZGVKJZMDGAP-SFEZYXITSA-N
Standard InCHI InChI=1S/C32H38N2O6/c1-18(14-19(2)17-35)8-7-10-23-29-31(4,40-29)20(3)28-25(15-21-16-33-24-11-6-5-9-22(21)24)34-30(39)32(23,28)26(36)12-13-27(37)38/h5-7,9-11,14,16-18,20,23,25,28-29,33H,8,12-13,15H2,1-4H3,(H,34,39)(H,37,38)/b10-7+,19-14+/t18?,20-,23-,25-,28-,29-,31+,32+/m0/s1
SMILES CC(C/C=C/[C@H]1[C@H]2[C@@](C)([C@@H](C)[C@H]3[C@H](Cc4c[nH]c5ccccc45)N=C([C@@]13C(=O)CCC(=O)O)O)O2)/C=C(C)/C=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   546.27 Volume:   567.616
?
Van der Waals volume.
Dense:   0.962 LogP:   3.106
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.66
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.716
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   27.0
TPSA:   132.35
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.153 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.36 Fsp3:   0.5
MCE-18:   111.917
?
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:   0.612 Fluc inhibitor:   0.098
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.186
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.381
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.006 Promiscuous compounds:   0.579

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.594 MDCK Permeability:   -5.208
Pgp-inhibitor:   0.013 Pgp-substrate:   0.045
PAMPA:   0.983
?
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):   0.004
20% Bioavailability (F20%):   0.342 30% Bioavailability (F30%):   0.691
50% Bioavailability (F50%):   0.9

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.892
Plasma Protein Binding (PPB):   97.105% Volume Distribution (VD):   -0.406
Fu: 2.627%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.988 BCRP inhibitor:   0.0
BSEP inhibitor:   0.993

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.002 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.845 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.072 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.062
HLM stability:   0.303
?
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):  2.122 Half-life (T1/2):  1.096

ADMET: Toxicity

hERG Blockers:  0.003 hERG Blockers (10um):  0.023
Human Hepatotoxicity (H-HT):  0.999 Drug-induced Liver Injury (DILI):  0.972
AMES Toxicity:  0.46 Rat Oral Acute Toxicity:  0.265
Maximum Recommended Daily Dose:  0.138 Skin Sensitization:  1.0
Carcinogencity:  0.541 Eye Corrosion:  0.0
Eye Irritation:  0.132 Respiratory Toxicity:  0.405
Drug-induced Neurotoxicity:  0.033 Ototoxicity:  0.977
Hematotoxicity:  0.477 Drug-induced Nephrotoxicity:  0.952
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.029
A549 Cytotoxicity:  0.001 Hek293 Cytotoxicity:  0.032
BCF:   0.775
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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:   3.726
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.275
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.578
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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
NPO41095 Chaetomium globosum TW1-1 Strain Chaetomiaceae Eukaryota n.a. n.a. n.a. PMID[26068802]
NPO41095 Chaetomium globosum TW1-1 Strain Chaetomiaceae 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
NPT659 Cell line SMMC-7721 Homo sapiens IC50 = 24990.0 nM PMID[26068802]
NPT116 Cell line HL-60 Homo sapiens IC50 > 40000.0 nM PMID[26068802]
NPT81 Cell line A549 Homo sapiens IC50 > 40000.0 nM PMID[26068802]
NPT83 Cell line MCF7 Homo sapiens IC50 > 40000.0 nM PMID[26068802]
NPT660 Cell line SW480 Homo sapiens IC50 > 40000.0 nM PMID[26068802]
NPT27 Others Unspecified n.a. IC50 > 40000.0 nM PMID[26068802]

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 NPC487659 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
0.7959 Intermediate Similarity NPC487658
0.7959 Intermediate Similarity NPC487660
0.7449 Intermediate Similarity NPC266192
0.7228 Intermediate Similarity NPC487657
0.7157 Intermediate Similarity NPC267926
0.6762 Remote Similarity NPC57690
0.6604 Remote Similarity NPC290529
0.5514 Remote Similarity NPC157828
0.5413 Remote Similarity NPC195239
0.5405 Remote Similarity NPC487662
0.5315 Remote Similarity NPC271862
0.531 Remote Similarity NPC487664
0.5268 Remote Similarity NPC98715
0.5225 Remote Similarity NPC267965
0.5221 Remote Similarity NPC487661
0.5221 Remote Similarity NPC225821
0.5175 Remote Similarity NPC46225
0.5088 Remote Similarity NPC132211
0.5043 Remote Similarity NPC70155
0.5043 Remote Similarity NPC141428
0.5043 Remote Similarity NPC203614

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC487659 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