Natural Product: NPC125353

Natural Product IDNPC125353
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MSWZFWKMSRAUBD-RXRWUWDJSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 12302999
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0001540] Monosaccharides
            • [CHEMONTID:0001498] Hexoses

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 MSWZFWKMSRAUBD-RXRWUWDJSA-N
Standard InCHI InChI=1S/C6H13NO5/c7-3-5(10)4(9)2(1-8)12-6(3)11/h2-6,8-11H,1,7H2/t2-,3+,4-,5-,6+/m1/s1
SMILES C([C@@H]1[C@H]([C@@H]([C@@H]([C@@H](O)O1)N)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   179.08 Volume:   158.724
?
Van der Waals volume.
Dense:   1.128 LogP:   -1.677
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -1.252
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   0.297
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   6.0
TPSA:   116.17
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   6.0 Rings:   1.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.288 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.844 Fsp3:   1.0
MCE-18:   22.667
?
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:   0 PAINS Alert:   0
Colloidal aggregators:   0.173 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.07
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.271 Promiscuous compounds:   0.019

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.331 MDCK Permeability:   -5.148
Pgp-inhibitor:   0.001 Pgp-substrate:   0.791
PAMPA:   0.986
?
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):   0.806
20% Bioavailability (F20%):   0.447 30% Bioavailability (F30%):   0.69
50% Bioavailability (F50%):   0.774

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.203 MRP1:   0.147
Plasma Protein Binding (PPB):   15.663% Volume Distribution (VD):   -0.447
Fu: 85.166%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.844
OATP1B3 inhibitor:   0.934 BCRP inhibitor:   0.076
BSEP inhibitor:   0.006

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.881 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.006
CYP2D6-inhibitor:   0.021 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.01 CYP3A4-substrate:   0.004
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.243
HLM stability:   0.01
?
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):  2.91 Half-life (T1/2):  1.884

ADMET: Toxicity

hERG Blockers:  0.02 hERG Blockers (10um):  0.114
Human Hepatotoxicity (H-HT):  0.599 Drug-induced Liver Injury (DILI):  0.33
AMES Toxicity:  0.836 Rat Oral Acute Toxicity:  0.118
Maximum Recommended Daily Dose:  0.022 Skin Sensitization:  0.996
Carcinogencity:  0.355 Eye Corrosion:  0.051
Eye Irritation:  0.88 Respiratory Toxicity:  0.096
Drug-induced Neurotoxicity:  0.198 Ototoxicity:  0.743
Hematotoxicity:  0.318 Drug-induced Nephrotoxicity:  0.602
Genotoxicity:  0.36 RPMI-8226 Immunitoxicity:  0.083
A549 Cytotoxicity:  0.091 Hek293 Cytotoxicity:  0.026
BCF:   0.107
?
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:   1.533
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   2.734
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   1.897
?
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
NPO14148 Panax pseudoginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20614 Aristotelia peduncularis Species Elaeocarpaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19208 Chaetomium minutum Species Chaetomiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14148 Panax pseudoginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19208 Chaetomium minutum Species Chaetomiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14148 Panax pseudoginseng Species Araliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20614 Aristotelia peduncularis Species Elaeocarpaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13350 Dermocybe icterinoides Species Cortinariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20934 Genista januensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20053 Psilocybe subaeruginosa Species Strophariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18106 Mitrephora vulpina Species Annonaceae 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

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 NPC125353 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 NPC322801
1.0 High Similarity NPC600826
1.0 High Similarity NPC606475
0.9615 High Similarity NPC600025
0.5161 Remote Similarity NPC73906
0.5161 Remote Similarity NPC285364
0.5161 Remote Similarity NPC255377
0.5161 Remote Similarity NPC92246
0.5161 Remote Similarity NPC165846
0.5161 Remote Similarity NPC176017
0.5161 Remote Similarity NPC21209
0.5161 Remote Similarity NPC69445
0.5161 Remote Similarity NPC289758
0.5161 Remote Similarity NPC605355

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC125353 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
1.0 High Similarity NPD9031 Approved
1.0 High Similarity NPD9032 Phase 4
1.0 High Similarity NPD9033 Approved
0.9615 High Similarity NPD9030 Approved
0.5161 Remote Similarity NPD8997 Approved
0.5161 Remote Similarity NPD8998 Phase 2
0.5161 Remote Similarity NPD8999 Phase 4
0.5161 Remote Similarity NPD9000 Phase 3

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