Natural Product: NPC599909

Natural Product IDNPC599909
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
UJIJNWKXNAZKOA-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL5272077
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 UJIJNWKXNAZKOA-UHFFFAOYSA-N
Standard InCHI InChI=1S/C28H24O4/c29-25-14-10-22-7-6-21-11-15-27(26(30)17-21)32-24-3-1-2-20(16-24)5-4-19-8-12-23(13-9-19)31-28(25)18-22/h1-3,8-18,29-30H,4-7H2
SMILES Oc1cc2ccc1Oc1cccc(c1)CCc1ccc(cc1)Oc1cc(ccc1O)CC2

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   424.17 Volume:   453.585
?
Van der Waals volume.
Dense:   0.935 LogP:   4.309
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.505
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.79
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The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   34.0
TPSA:   58.92
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   8.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.335 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.03 Fsp3:   0.143
MCE-18:   56.25
?
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:   1.0 Fluc inhibitor:   0.458
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.255
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.795
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.641 Promiscuous compounds:   0.145

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.799 MDCK Permeability:   -4.788
Pgp-inhibitor:   0.945 Pgp-substrate:   0.049
PAMPA:   0.033
?
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):   0.001
20% Bioavailability (F20%):   0.543 30% Bioavailability (F30%):   0.73
50% Bioavailability (F50%):   0.958

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.568 MRP1:   0.716
Plasma Protein Binding (PPB):   98.836% Volume Distribution (VD):   0.34
Fu: 0.381%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.927
OATP1B3 inhibitor:   0.981 BCRP inhibitor:   0.11
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.474 CYP1A2-substrate:   0.986
CYP2C19-inhibitor:   0.344 CYP2C19-substrate:   0.994
CYP2C9-inhibitor:   0.999 CYP2C9-substrate:   0.026
CYP2D6-inhibitor:   0.987 CYP2D6-substrate:   0.38
CYP3A4-inhibitor:   0.747 CYP3A4-substrate:   0.996
CYP2B6-substrate:   0.328 CYP2C8-inhibitor:   0.999
HLM stability:   0.994
?
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):  8.559 Half-life (T1/2):  0.685

ADMET: Toxicity

hERG Blockers:  0.542 hERG Blockers (10um):  0.834
Human Hepatotoxicity (H-HT):  0.472 Drug-induced Liver Injury (DILI):  0.202
AMES Toxicity:  0.501 Rat Oral Acute Toxicity:  0.395
Maximum Recommended Daily Dose:  0.517 Skin Sensitization:  0.672
Carcinogencity:  0.542 Eye Corrosion:  0.001
Eye Irritation:  0.767 Respiratory Toxicity:  0.485
Drug-induced Neurotoxicity:  0.372 Ototoxicity:  0.307
Hematotoxicity:  0.162 Drug-induced Nephrotoxicity:  0.211
Genotoxicity:  0.268 RPMI-8226 Immunitoxicity:  0.056
A549 Cytotoxicity:  0.57 Hek293 Cytotoxicity:  0.76
BCF:   1.773
?
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:   4.924
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.597
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.281
?
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
NPO10949 Riccardia multifida Species Aneuraceae Eukaryota n.a. n.a. n.a. PMID[21625478]
NPO10949 Riccardia multifida Species Aneuraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO52507 Asterella angusta Genus Aytoniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10949 Riccardia multifida Species Aneuraceae 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
NPT20 Organism Candida albicans Candida albicans MIC = 0.25 ug PMID[29019405]
NPT20 Organism Candida albicans Candida albicans MIC = 16.0 ug.mL-1 PMID[29019405]

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 NPC599909 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
1.0 High Similarity NPC604545
0.7843 Intermediate Similarity NPC474134
0.7708 Intermediate Similarity NPC5948
0.7692 Intermediate Similarity NPC601463
0.7358 Intermediate Similarity NPC304630
0.7273 Intermediate Similarity NPC226193
0.7273 Intermediate Similarity NPC601081
0.7222 Intermediate Similarity NPC134431
0.7222 Intermediate Similarity NPC156854
0.7037 Intermediate Similarity NPC17837
0.6964 Remote Similarity NPC610261
0.6842 Remote Similarity NPC606874
0.6667 Remote Similarity NPC474390
0.625 Remote Similarity NPC86947
0.6129 Remote Similarity NPC210655
0.5902 Remote Similarity NPC66840
0.5873 Remote Similarity NPC601376
0.5738 Remote Similarity NPC256307
0.5738 Remote Similarity NPC73656
0.5645 Remote Similarity NPC606516
0.5636 Remote Similarity NPC131128
0.5469 Remote Similarity NPC141023
0.5397 Remote Similarity NPC599974
0.5306 Remote Similarity NPC607269
0.5088 Remote Similarity NPC485986
0.5079 Remote Similarity NPC483726

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC599909 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