Natural Product: NPC129053

Natural Product IDNPC129053
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Cyclomammeisin
IUPAC Name (8S)-5-hydroxy-8-(2-hydroxypropan-2-yl)-6-(3-methylbutanoyl)-4-phenyl-8,9-dihydrofuro[2,3-h]chromen-2-one
Synonyms Cyclomammeisin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL196157
PubChem CID 6483323
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0001614] Neoflavonoids
        • [CHEMONTID:0003650] Prenylated neoflavonoids

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 PTQKDRQFGLKODH-SFHVURJKSA-N
Standard InCHI InChI=1S/C25H26O6/c1-13(2)10-17(26)21-22(28)20-15(14-8-6-5-7-9-14)12-19(27)31-23(20)16-11-18(25(3,4)29)30-24(16)21/h5-9,12-13,18,28-29H,10-11H2,1-4H3/t18-/m0/s1
SMILES CC(CC(=O)c1c(O)c2c(cc(=O)oc2c2c1O[C@@H](C2)C(O)(C)C)c1ccccc1)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   422.17 Volume:   435.743
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Van der Waals volume.
Dense:   0.969 LogP:   4.849
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.945
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.035
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   23.0
TPSA:   96.97
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.465 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.464 Fsp3:   0.36
MCE-18:   84.176
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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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.969 Fluc inhibitor:   0.082
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.865
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.904
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.062 Promiscuous compounds:   0.103

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.807 MDCK Permeability:   -4.659
Pgp-inhibitor:   0.336 Pgp-substrate:   0.01
PAMPA:   0.092
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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):   0.0
20% Bioavailability (F20%):   0.003 30% Bioavailability (F30%):   0.021
50% Bioavailability (F50%):   0.715

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.301 MRP1:   0.96
Plasma Protein Binding (PPB):   98.419% Volume Distribution (VD):   -0.289
Fu: 1.109%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.978
OATP1B3 inhibitor:   0.941 BCRP inhibitor:   0.019
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.203 CYP1A2-substrate:   0.999
CYP2C19-inhibitor:   0.996 CYP2C19-substrate:   0.994
CYP2C9-inhibitor:   0.637 CYP2C9-substrate:   0.113
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.069
CYP3A4-inhibitor:   0.188 CYP3A4-substrate:   0.983
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.998
HLM stability:   0.593
?
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):  2.913 Half-life (T1/2):  0.939

ADMET: Toxicity

hERG Blockers:  0.097 hERG Blockers (10um):  0.283
Human Hepatotoxicity (H-HT):  0.792 Drug-induced Liver Injury (DILI):  0.701
AMES Toxicity:  0.544 Rat Oral Acute Toxicity:  0.484
Maximum Recommended Daily Dose:  0.785 Skin Sensitization:  0.743
Carcinogencity:  0.776 Eye Corrosion:  0.0
Eye Irritation:  0.559 Respiratory Toxicity:  0.547
Drug-induced Neurotoxicity:  0.178 Ototoxicity:  0.442
Hematotoxicity:  0.533 Drug-induced Nephrotoxicity:  0.774
Genotoxicity:  0.993 RPMI-8226 Immunitoxicity:  0.126
A549 Cytotoxicity:  0.174 Hek293 Cytotoxicity:  0.44
BCF:   1.47
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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:   4.351
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.774
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.36
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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
NPO27228 Calophyllum dispar Species Calophyllaceae Eukaryota n.a. n.a. n.a. PMID[11374944]
NPO33501 marila pluricostata Species Calophyllaceae Eukaryota leaves n.a. n.a. PMID[15787438]
NPO27228 Calophyllum dispar Species Calophyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27228 Calophyllum dispar Species Calophyllaceae Eukaryota n.a. n.a. n.a. Database[TCMID]

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
NPT165 Cell line HeLa Homo sapiens Inhibition = 22.0 % PMID[12398535]
NPT460 Cell line MT2 Homo sapiens Cell death = 34.1 % PMID[16137881]
NPT91 Cell line KB Homo sapiens ED50 = 6.0 ug ml-1 PMID[17844994]
NPT83 Cell line MCF7 Homo sapiens GI50 = 4.2 ug.mL-1 Open TG-GATES in vivo data: Hematology
NPT397 Cell line NCI-H460 Homo sapiens GI50 = 4.6 ug.mL-1 PMID[19128055]
NPT395 Cell line SF-268 Homo sapiens GI50 = 5.2 ug.mL-1 PMID[25927817]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 66.9 % PMID[16137881]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 86.3 % PMID[16137881]

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 NPC129053 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
0.8788 High Similarity NPC108937
0.8636 High Similarity NPC474738
0.8507 High Similarity NPC290671
0.8485 Intermediate Similarity NPC78554
0.6579 Remote Similarity NPC109967
0.6579 Remote Similarity NPC469936
0.6447 Remote Similarity NPC161864
0.6267 Remote Similarity NPC140120
0.5897 Remote Similarity NPC475797
0.5823 Remote Similarity NPC279218
0.5789 Remote Similarity NPC94794
0.5769 Remote Similarity NPC321372
0.5714 Remote Similarity NPC196137
0.5714 Remote Similarity NPC1886
0.5696 Remote Similarity NPC474735
0.5694 Remote Similarity NPC154217
0.5625 Remote Similarity NPC249942
0.55 Remote Similarity NPC470322
0.55 Remote Similarity NPC57470
0.5432 Remote Similarity NPC19238
0.5375 Remote Similarity NPC297886
0.5309 Remote Similarity NPC483434
0.525 Remote Similarity NPC259007
0.5176 Remote Similarity NPC469934
0.5176 Remote Similarity NPC181388
0.506 Remote Similarity NPC473209

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC129053 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