Natural Product: NPC74351

Natural Product IDNPC74351
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 GUBGYTABKSRVRQ-PDDHXKFQSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 42552697
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0002105] Glycosyl compounds
            • [CHEMONTID:0002207] O-glycosyl 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 GUBGYTABKSRVRQ-PDDHXKFQSA-N
Standard InCHI InChI=1S/C12H22O11/c13-1-3-5(15)6(16)9(19)12(22-3)23-10-4(2-14)21-11(20)8(18)7(10)17/h3-20H,1-2H2/t3-,4-,5-,6+,7-,8-,9+,10-,11-,12+/m1/s1
SMILES C([C@@H]1[C@H]([C@@H]([C@@H]([C@@H](O1)O[C@@H]1[C@@H](CO)O[C@H]([C@@H]([C@H]1O)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   342.12 Volume:   295.688
?
Van der Waals volume.
Dense:   1.157 LogP:   -2.912
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -2.408
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   0.177
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   12.0
TPSA:   189.53
?
Topological Polar Surface Area.
 H-Bond Acceptor:   11.0
H-Bond Donor:   8.0 Rings:   2.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.243 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.282 Fsp3:   1.0
MCE-18:   45.333
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
 Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Rejected
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.186 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.042
?
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:   0.507 Promiscuous compounds:   0.018

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.783 MDCK Permeability:   -4.932
Pgp-inhibitor:   0.0 Pgp-substrate:   0.538
PAMPA:   0.998
?
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):   0.958
20% Bioavailability (F20%):   0.188 30% Bioavailability (F30%):   0.824
50% Bioavailability (F50%):   0.795

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.225 MRP1:   0.027
Plasma Protein Binding (PPB):   27.53% Volume Distribution (VD):   -0.469
Fu: 80.26%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.965
OATP1B3 inhibitor:   0.966 BCRP inhibitor:   0.044
BSEP inhibitor:   0.007

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.018 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.993
HLM stability:   0.011
?
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):  0.905 Half-life (T1/2):  2.634

ADMET: Toxicity

hERG Blockers:  0.003 hERG Blockers (10um):  0.088
Human Hepatotoxicity (H-HT):  0.413 Drug-induced Liver Injury (DILI):  0.447
AMES Toxicity:  0.913 Rat Oral Acute Toxicity:  0.013
Maximum Recommended Daily Dose:  0.002 Skin Sensitization:  0.999
Carcinogencity:  0.067 Eye Corrosion:  0.0
Eye Irritation:  0.173 Respiratory Toxicity:  0.003
Drug-induced Neurotoxicity:  0.006 Ototoxicity:  0.984
Hematotoxicity:  0.405 Drug-induced Nephrotoxicity:  0.831
Genotoxicity:  0.056 RPMI-8226 Immunitoxicity:  0.133
A549 Cytotoxicity:  0.078 Hek293 Cytotoxicity:  0.031
BCF:   0.05
?
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:   1.195
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   2.455
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   1.682
?
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
NPO2421 Picea glauca Species Pinaceae Eukaryota n.a. n.a. n.a. PMID[18636777]
NPO691 Tarchonanthus camphoratus Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[29244495]
NPO284 Albizia procera Species Fabaceae Eukaryota Bark n.a. n.a. PMID[30520635]
NPO1539 Artemisia giraldii Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[36364129]
NPO1539 Artemisia giraldii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19432 Millettia pinnata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3963 Hortonia floribunda Species Monimiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO691 Tarchonanthus camphoratus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4421 Penicillium cyclopium Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5981 Achlys triphylla Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7770 Lactuca laciniata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5588 Bursera tonkinensis Species Burseraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3415 Perymenium mendezii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3255 Lampranthus sociorum Species Aizoaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2421 Picea glauca Species Pinaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO284 Albizia procera Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5588 Bursera tonkinensis Species Burseraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7155 Cypripedium calceolus Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7770 Lactuca laciniata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO99 Artemisia porrecta Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO99 Artemisia porrecta Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19432 Millettia pinnata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5588 Bursera tonkinensis Species Burseraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7770 Lactuca laciniata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7155 Cypripedium calceolus Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7155 Cypripedium calceolus Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO855 Elymnias thryallis Species Nymphalidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7464 Uruparia lanosa n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO4421 Penicillium cyclopium Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5981 Achlys triphylla Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3963 Hortonia floribunda Species Monimiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO284 Albizia procera Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4952 Pertusaria amara Species Pertusariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3415 Perymenium mendezii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19432 Millettia pinnata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7616 Melanargia galathea Species Nymphalidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3263 Thea sasanqua n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO99 Artemisia porrecta Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO691 Tarchonanthus camphoratus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5588 Bursera tonkinensis Species Burseraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7155 Cypripedium calceolus Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2421 Picea glauca Species Pinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6844 Bulbophyllum protractum Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3255 Lampranthus sociorum Species Aizoaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2963 Diospyros glaucifolia Species Ebenaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4117 Nauclea rhynchophylla Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15597 Calystegia pubescens Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29287 Alectoria ochroleuca Species Parmeliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1539 Artemisia giraldii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7770 Lactuca laciniata 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

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 NPC74351 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 NPC246558
1.0 High Similarity NPC67660
1.0 High Similarity NPC165198
1.0 High Similarity NPC209753
1.0 High Similarity NPC58629
0.8947 High Similarity NPC317023
0.8947 High Similarity NPC489878
0.6111 Remote Similarity NPC23134
0.5455 Remote Similarity NPC323361
0.5435 Remote Similarity NPC89145
0.5435 Remote Similarity NPC157514
0.5435 Remote Similarity NPC322314
0.5435 Remote Similarity NPC269166
0.5405 Remote Similarity NPC42503
0.5405 Remote Similarity NPC282143
0.5405 Remote Similarity NPC107914
0.5405 Remote Similarity NPC242073
0.5405 Remote Similarity NPC299781
0.5405 Remote Similarity NPC157193
0.5405 Remote Similarity NPC608193
0.5208 Remote Similarity NPC604425
0.5102 Remote Similarity NPC477750
0.5102 Remote Similarity NPC477763
0.5102 Remote Similarity NPC477757
0.5102 Remote Similarity NPC477762
0.5102 Remote Similarity NPC477755
0.5102 Remote Similarity NPC477753

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC74351 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 NPD888 Phase 3
1.0 High Similarity NPD890 Clinical (unspecified phase)
1.0 High Similarity NPD891 Phase 3
1.0 High Similarity NPD892 Phase 3
1.0 High Similarity NPD893 Approved
0.5455 Remote Similarity NPD889 Approved
0.5455 Remote Similarity NPD894 Phase 4
0.5366 Remote Similarity NPD905 Phase 4

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