Natural Product: NPC233502

Natural Product IDNPC233502
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OHVOXMFXCZKNPR-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5459223
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0001612] Isoflavans
          • [CHEMONTID:0001827] Isoflavanones
            • [CHEMONTID:0003526] 6-prenylated isoflavanones

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 OHVOXMFXCZKNPR-UHFFFAOYSA-N
Standard InCHI InChI=1S/C25H24O5/c1-15(2)10-12-28-17-7-5-16(6-8-17)19-14-29-21-13-20-18(9-11-25(3,4)30-20)23(26)22(21)24(19)27/h5-11,13-14,26H,12H2,1-4H3
SMILES CC(=CCOc1ccc(cc1)c1coc2cc3c(C=CC(C)(C)O3)c(c2c1=O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   404.16 Volume:   424.317
?
Van der Waals volume.
Dense:   0.952 LogP:   5.148
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.816
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.953
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   24.0
TPSA:   68.9
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Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.565 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.962 Fsp3:   0.24
MCE-18:   51.613
?
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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.978 Fluc inhibitor:   0.832
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.818
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.819
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.23 Promiscuous compounds:   0.202

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.001 MDCK Permeability:   -4.646
Pgp-inhibitor:   0.932 Pgp-substrate:   0.009
PAMPA:   0.674
?
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):   0.035
20% Bioavailability (F20%):   0.639 30% Bioavailability (F30%):   0.929
50% Bioavailability (F50%):   0.982

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.219 MRP1:   0.931
Plasma Protein Binding (PPB):   97.902% Volume Distribution (VD):   0.007
Fu: 1.868%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.992
OATP1B3 inhibitor:   0.937 BCRP inhibitor:   0.933
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.995 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.557 CYP2C19-substrate:   0.919
CYP2C9-inhibitor:   0.998 CYP2C9-substrate:   0.947
CYP2D6-inhibitor:   0.769 CYP2D6-substrate:   0.166
CYP3A4-inhibitor:   0.007 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.013 CYP2C8-inhibitor:   1.0
HLM stability:   0.85
?
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):  5.739 Half-life (T1/2):  0.667

ADMET: Toxicity

hERG Blockers:  0.323 hERG Blockers (10um):  0.621
Human Hepatotoxicity (H-HT):  0.61 Drug-induced Liver Injury (DILI):  0.89
AMES Toxicity:  0.644 Rat Oral Acute Toxicity:  0.525
Maximum Recommended Daily Dose:  0.623 Skin Sensitization:  0.482
Carcinogencity:  0.805 Eye Corrosion:  0.0
Eye Irritation:  0.596 Respiratory Toxicity:  0.826
Drug-induced Neurotoxicity:  0.333 Ototoxicity:  0.471
Hematotoxicity:  0.314 Drug-induced Nephrotoxicity:  0.517
Genotoxicity:  0.471 RPMI-8226 Immunitoxicity:  0.121
A549 Cytotoxicity:  0.198 Hek293 Cytotoxicity:  0.389
BCF:   2.088
?
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:   4.902
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.768
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.252
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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
NPO40204 Millettia extensa Species Fabaceae Eukaryota Stems n.a. n.a. PMID[30106294]
NPO40204 Millettia extensa Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[31403786]

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
NPT566 Organism Salmonella typhimurium Salmonella enterica subsp. enterica serovar Typhimurium MIC = 128.0 ug.mL-1 PMID[30106294]
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa MIC = 128.0 ug.mL-1 PMID[30106294]

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 NPC233502 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
0.8333 Intermediate Similarity NPC113475
0.75 Intermediate Similarity NPC97716
0.7273 Intermediate Similarity NPC484041
0.726 Intermediate Similarity NPC184755
0.6974 Remote Similarity NPC604503
0.6842 Remote Similarity NPC229847
0.6711 Remote Similarity NPC484043
0.662 Remote Similarity NPC203636
0.6533 Remote Similarity NPC84124
0.6533 Remote Similarity NPC184547
0.6438 Remote Similarity NPC249824
0.64 Remote Similarity NPC608710
0.6216 Remote Similarity NPC133400
0.6071 Remote Similarity NPC484047
0.6071 Remote Similarity NPC484042
0.5904 Remote Similarity NPC302762
0.5854 Remote Similarity NPC238064
0.5854 Remote Similarity NPC189270
0.5854 Remote Similarity NPC5840
0.5694 Remote Similarity NPC473076
0.557 Remote Similarity NPC488570
0.55 Remote Similarity NPC231763
0.55 Remote Similarity NPC107838
0.5467 Remote Similarity NPC254741
0.5455 Remote Similarity NPC488135
0.5385 Remote Similarity NPC219917
0.5385 Remote Similarity NPC40942
0.5309 Remote Similarity NPC237635
0.5256 Remote Similarity NPC166054
0.5244 Remote Similarity NPC178964
0.5185 Remote Similarity NPC474052
0.5181 Remote Similarity NPC170026
0.5062 Remote Similarity NPC6511
0.5062 Remote Similarity NPC479305
0.506 Remote Similarity NPC229632
0.5057 Remote Similarity NPC278968

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC233502 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