Natural Product: NPC2576

Natural Product IDNPC2576
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
LCSKDKPVRLILBJ-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44259765
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001615] Flavones
          • [CHEMONTID:0001136] Flavonols

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 LCSKDKPVRLILBJ-UHFFFAOYSA-N
Standard InCHI InChI=1S/C21H20O7/c1-11(2)8-9-27-13-6-4-12(5-7-13)20-19(25)17(23)16-15(28-20)10-14(22)21(26-3)18(16)24/h4-8,10,22,24-25H,9H2,1-3H3
SMILES CC(=CCOc1ccc(cc1)c1c(c(=O)c2c(cc(c(c2O)OC)O)o1)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   384.12 Volume:   383.906
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Van der Waals volume.
Dense:   1.001 LogP:   3.955
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.069
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.776
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   19.0
TPSA:   109.36
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   3.0 Rings:   3.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.572 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.679 Fsp3:   0.19
MCE-18:   20.0
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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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.862 Fluc inhibitor:   0.778
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.924
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.757
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.237 Promiscuous compounds:   0.184

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.136 MDCK Permeability:   -4.756
Pgp-inhibitor:   0.932 Pgp-substrate:   0.167
PAMPA:   0.289
?
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):   0.08
20% Bioavailability (F20%):   0.061 30% Bioavailability (F30%):   0.595
50% Bioavailability (F50%):   0.923

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.015 MRP1:   0.96
Plasma Protein Binding (PPB):   98.017% Volume Distribution (VD):   -0.744
Fu: 1.721%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.774
OATP1B3 inhibitor:   0.987 BCRP inhibitor:   0.974
BSEP inhibitor:   0.873

ADMET: Metabolism

CYP1A2-inhibitor:   0.969 CYP1A2-substrate:   0.574
CYP2C19-inhibitor:   0.076 CYP2C19-substrate:   0.918
CYP2C9-inhibitor:   0.926 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.991 CYP2D6-substrate:   0.225
CYP3A4-inhibitor:   0.049 CYP3A4-substrate:   0.031
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.999
?
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):  4.639 Half-life (T1/2):  1.21

ADMET: Toxicity

hERG Blockers:  0.161 hERG Blockers (10um):  0.567
Human Hepatotoxicity (H-HT):  0.5 Drug-induced Liver Injury (DILI):  0.828
AMES Toxicity:  0.536 Rat Oral Acute Toxicity:  0.348
Maximum Recommended Daily Dose:  0.449 Skin Sensitization:  0.699
Carcinogencity:  0.706 Eye Corrosion:  0.071
Eye Irritation:  0.95 Respiratory Toxicity:  0.742
Drug-induced Neurotoxicity:  0.085 Ototoxicity:  0.247
Hematotoxicity:  0.268 Drug-induced Nephrotoxicity:  0.136
Genotoxicity:  0.406 RPMI-8226 Immunitoxicity:  0.066
A549 Cytotoxicity:  0.259 Hek293 Cytotoxicity:  0.379
BCF:   1.433
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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:   4.421
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.382
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.131
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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
NPO28296 Dryopteris dickinsii Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28277 Diospyros maingayi Species Ebenaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28296 Dryopteris dickinsii Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27887 Striga asiatica Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28242 Amomum latifolium Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28277 Diospyros maingayi Species Ebenaceae 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 NPC2576 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
0.8 Intermediate Similarity NPC44079
0.6897 Remote Similarity NPC26227
0.6567 Remote Similarity NPC213622
0.65 Remote Similarity NPC98661
0.6176 Remote Similarity NPC470402
0.6032 Remote Similarity NPC49824
0.5873 Remote Similarity NPC241838
0.5714 Remote Similarity NPC203891
0.5714 Remote Similarity NPC156222
0.5385 Remote Similarity NPC201451
0.5373 Remote Similarity NPC93376
0.5303 Remote Similarity NPC256283
0.5224 Remote Similarity NPC115798
0.5224 Remote Similarity NPC200740
0.5224 Remote Similarity NPC54394
0.5224 Remote Similarity NPC255350
0.5211 Remote Similarity NPC273538
0.5152 Remote Similarity NPC276905
0.5152 Remote Similarity NPC281207
0.5152 Remote Similarity NPC605146
0.5075 Remote Similarity NPC9609
0.5075 Remote Similarity NPC86485
0.5068 Remote Similarity NPC249824

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC2576 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
0.5224 Remote Similarity NPD2801 Pre-clinical
0.5211 Remote Similarity NPD4378 Phase 3

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