Natural Product: NPC255675

Natural Product IDNPC255675
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
QGFJORGLNPWXMK-MRVPVSSYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3326612
PubChem CID NA
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000134] Phenols
        • [CHEMONTID:0000190] Methoxyphenols

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 QGFJORGLNPWXMK-MRVPVSSYSA-N
Standard InCHI InChI=1S/C10H14O4/c1-14-10-5-7(2-3-9(10)13)4-8(12)6-11/h2-3,5,8,11-13H,4,6H2,1H3/t8-/m1/s1
SMILES OC[C@@H](Cc1ccc(c(c1)OC)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   198.09 Volume:   200.211
?
Van der Waals volume.
Dense:   0.989 LogP:   0.177
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.456
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.44
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   6.0
TPSA:   69.92
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   3.0 Rings:   1.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.65 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.403 Fsp3:   0.4
MCE-18:   14.0
?
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:   Accepted BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.351 Fluc inhibitor:   0.002
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.017
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.016
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.713 Promiscuous compounds:   0.506

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.495 MDCK Permeability:   -4.874
Pgp-inhibitor:   0.0 Pgp-substrate:   0.785
PAMPA:   0.873
?
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%):   0.164 30% Bioavailability (F30%):   0.197
50% Bioavailability (F50%):   0.753

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.016 MRP1:   0.246
Plasma Protein Binding (PPB):   35.867% Volume Distribution (VD):   -0.238
Fu: 61.803%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.99 BCRP inhibitor:   0.147
BSEP inhibitor:   0.4

ADMET: Metabolism

CYP1A2-inhibitor:   0.003 CYP1A2-substrate:   0.003
CYP2C19-inhibitor:   0.015 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.93 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.992 CYP2D6-substrate:   0.076
CYP3A4-inhibitor:   0.038 CYP3A4-substrate:   0.004
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.009
HLM stability:   0.726
?
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):  9.428 Half-life (T1/2):  1.739

ADMET: Toxicity

hERG Blockers:  0.083 hERG Blockers (10um):  0.233
Human Hepatotoxicity (H-HT):  0.285 Drug-induced Liver Injury (DILI):  0.009
AMES Toxicity:  0.566 Rat Oral Acute Toxicity:  0.029
Maximum Recommended Daily Dose:  0.058 Skin Sensitization:  0.906
Carcinogencity:  0.361 Eye Corrosion:  0.444
Eye Irritation:  0.978 Respiratory Toxicity:  0.029
Drug-induced Neurotoxicity:  0.041 Ototoxicity:  0.744
Hematotoxicity:  0.087 Drug-induced Nephrotoxicity:  0.323
Genotoxicity:  0.006 RPMI-8226 Immunitoxicity:  0.048
A549 Cytotoxicity:  0.016 Hek293 Cytotoxicity:  0.087
BCF:   0.26
?
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:   2.311
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   3.707
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   2.976
?
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
NPO15339 Artemisia afra Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[19299148]
NPO6648 Piper retrofractum Species Piperaceae Eukaryota Fruits n.a. n.a. PMID[23506561]
NPO6648 Piper retrofractum Species Piperaceae Eukaryota leaves n.a. n.a. PMID[25127165]
NPO6648 Piper retrofractum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8843 Epipactis palustris Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15339 Artemisia afra Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15050 Rumex obtusifolius Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6648 Piper retrofractum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15050 Rumex obtusifolius Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15050 Rumex obtusifolius Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8843 Epipactis palustris Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15050 Rumex obtusifolius Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6648 Piper retrofractum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2373 Popillia japonica Species Scarabaeidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15339 Artemisia afra Species Asteraceae 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
NPT35 Others n.a. n.a. Activity = 3.59 uM PMID[25127165]
NPT35 Others n.a. n.a. Activity = 28.2 uM PMID[25127165]

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 NPC255675 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 NPC471693
0.7222 Intermediate Similarity NPC221049
0.6944 Remote Similarity NPC257124
0.6857 Remote Similarity NPC156840
0.6667 Remote Similarity NPC85488
0.6316 Remote Similarity NPC8547
0.6316 Remote Similarity NPC140359
0.619 Remote Similarity NPC312675
0.619 Remote Similarity NPC262156
0.619 Remote Similarity NPC184651
0.619 Remote Similarity NPC113865
0.6154 Remote Similarity NPC165133
0.6154 Remote Similarity NPC242885
0.6154 Remote Similarity NPC95614
0.6154 Remote Similarity NPC193544
0.6154 Remote Similarity NPC232316
0.6098 Remote Similarity NPC197757
0.6047 Remote Similarity NPC487676
0.5854 Remote Similarity NPC35071
0.5854 Remote Similarity NPC177475
0.5854 Remote Similarity NPC57490
0.5854 Remote Similarity NPC148615
0.5854 Remote Similarity NPC603326
0.5854 Remote Similarity NPC603989
0.5814 Remote Similarity NPC203133
0.5745 Remote Similarity NPC343720
0.5745 Remote Similarity NPC54872
0.5714 Remote Similarity NPC17943
0.5714 Remote Similarity NPC299406
0.5714 Remote Similarity NPC325625
0.5682 Remote Similarity NPC117214
0.5682 Remote Similarity NPC56214
0.5682 Remote Similarity NPC476968
0.5652 Remote Similarity NPC473853
0.5652 Remote Similarity NPC98631
0.5652 Remote Similarity NPC5428
0.5652 Remote Similarity NPC206615
0.5652 Remote Similarity NPC470212
0.5652 Remote Similarity NPC481914
0.5652 Remote Similarity NPC607444
0.5556 Remote Similarity NPC7097
0.5532 Remote Similarity NPC324571
0.5526 Remote Similarity NPC293619
0.55 Remote Similarity NPC320987
0.5455 Remote Similarity NPC194416
0.5455 Remote Similarity NPC31344
0.5455 Remote Similarity NPC177291
0.5455 Remote Similarity NPC317769
0.5455 Remote Similarity NPC127937
0.5435 Remote Similarity NPC78974
0.5435 Remote Similarity NPC127587
0.5417 Remote Similarity NPC164386
0.5385 Remote Similarity NPC604189
0.5366 Remote Similarity NPC139519
0.5366 Remote Similarity NPC181969
0.5333 Remote Similarity NPC66518
0.5306 Remote Similarity NPC137427
0.5294 Remote Similarity NPC310718
0.5217 Remote Similarity NPC51840
0.5217 Remote Similarity NPC227217
0.5217 Remote Similarity NPC117780
0.5217 Remote Similarity NPC82679
0.5208 Remote Similarity NPC311680
0.5208 Remote Similarity NPC212015
0.5208 Remote Similarity NPC103823
0.52 Remote Similarity NPC311595
0.52 Remote Similarity NPC481913
0.52 Remote Similarity NPC24474
0.5128 Remote Similarity NPC246358
0.5128 Remote Similarity NPC203719
0.5116 Remote Similarity NPC78918
0.5116 Remote Similarity NPC476343
0.5116 Remote Similarity NPC139617
0.5106 Remote Similarity NPC470804
0.5102 Remote Similarity NPC472090
0.5102 Remote Similarity NPC303680

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC255675 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
0.6944 Remote Similarity NPD228 Phase 0

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