Natural Product: NPC160821

Natural Product IDNPC160821
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Lespeflorin A3
IUPAC Name (2S)-2-(2,2-dimethylchromen-6-yl)-7-hydroxy-6,8-bis(3-methylbut-2-enyl)-2,3-dihydrochromen-4-one
Synonyms Lespeflorin A3
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL550552
PubChem CID 25243166
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0000337] Flavans
          • [CHEMONTID:0003642] 8-prenylated flavans
            • [CHEMONTID:0003508] 8-prenylated flavanones

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 SAZBMMMZQLNWMN-MHZLTWQESA-N
Standard InCHI InChI=1S/C30H34O4/c1-18(2)7-9-22-16-24-25(31)17-27(33-29(24)23(28(22)32)11-8-19(3)4)20-10-12-26-21(15-20)13-14-30(5,6)34-26/h7-8,10,12-16,27,32H,9,11,17H2,1-6H3/t27-/m0/s1
SMILES CC(=CCc1cc2C(=O)C[C@@H](c3ccc4c(C=CC(C)(C)O4)c3)Oc2c(CC=C(C)C)c1O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   458.25 Volume:   502.006
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Van der Waals volume.
Dense:   0.913 LogP:   7.312
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.813
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.899
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   25.0
TPSA:   55.76
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.478 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.816 Fsp3:   0.367
MCE-18:   84.951
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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:   0.999 Fluc inhibitor:   0.789
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.741
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.607
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.311 Promiscuous compounds:   0.187

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.907 MDCK Permeability:   -4.683
Pgp-inhibitor:   0.928 Pgp-substrate:   0.005
PAMPA:   0.268
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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):   0.05
20% Bioavailability (F20%):   0.999 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.003 MRP1:   0.916
Plasma Protein Binding (PPB):   96.868% Volume Distribution (VD):   0.4
Fu: 2.897%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.961
OATP1B3 inhibitor:   0.884 BCRP inhibitor:   0.999
BSEP inhibitor:   0.956

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.929 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.02
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.08
CYP3A4-inhibitor:   0.052 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.006 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
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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):  7.838 Half-life (T1/2):  0.798

ADMET: Toxicity

hERG Blockers:  0.138 hERG Blockers (10um):  0.495
Human Hepatotoxicity (H-HT):  0.884 Drug-induced Liver Injury (DILI):  0.892
AMES Toxicity:  0.876 Rat Oral Acute Toxicity:  0.97
Maximum Recommended Daily Dose:  0.891 Skin Sensitization:  0.963
Carcinogencity:  0.709 Eye Corrosion:  0.0
Eye Irritation:  0.152 Respiratory Toxicity:  0.988
Drug-induced Neurotoxicity:  0.945 Ototoxicity:  0.812
Hematotoxicity:  0.545 Drug-induced Nephrotoxicity:  0.977
Genotoxicity:  0.996 RPMI-8226 Immunitoxicity:  0.155
A549 Cytotoxicity:  0.801 Hek293 Cytotoxicity:  0.584
BCF:   2.13
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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:   5.475
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.878
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   7.566
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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
NPO13293 Lespedeza floribunda Species Fabaceae Eukaryota roots n.a. n.a. PMID[19132934]
NPO13293 Lespedeza floribunda Species Fabaceae Eukaryota n.a. root n.a. PMID[19132934]
NPO13293 Lespedeza floribunda Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13293 Lespedeza floribunda Species Fabaceae 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
NPT2 Others Unspecified n.a. IC50 = 1500.0 nM PMID[19132934]

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 NPC160821 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 NPC101793
0.6912 Remote Similarity NPC197252
0.6765 Remote Similarity NPC75049
0.6667 Remote Similarity NPC310130
0.6575 Remote Similarity NPC39752
0.6377 Remote Similarity NPC59522
0.6282 Remote Similarity NPC132592
0.6164 Remote Similarity NPC23728
0.5867 Remote Similarity NPC312973
0.5802 Remote Similarity NPC283234
0.575 Remote Similarity NPC110303
0.575 Remote Similarity NPC601247
0.575 Remote Similarity NPC609256
0.5714 Remote Similarity NPC246948
0.5694 Remote Similarity NPC236766
0.5694 Remote Similarity NPC150408
0.5556 Remote Similarity NPC192686
0.5556 Remote Similarity NPC284820
0.5366 Remote Similarity NPC111786
0.5309 Remote Similarity NPC214774
0.5301 Remote Similarity NPC119209
0.5195 Remote Similarity NPC608140
0.5181 Remote Similarity NPC54577
0.5135 Remote Similarity NPC164980
0.5125 Remote Similarity NPC142405
0.5122 Remote Similarity NPC267375
0.5122 Remote Similarity NPC40033

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC160821 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