Natural Product: NPC486101

Natural Product IDNPC486101
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
IXFCBPYFIQTJAP-YGFSCBLISA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 132566268
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds
      • [CHEMONTID:0003686] Furanoid lignans

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 IXFCBPYFIQTJAP-YGFSCBLISA-N
Standard InCHI InChI=1S/C29H36O14/c1-34-16-5-12(6-18-26(16)41-11-40-18)23-14-9-39-24(15(14)10-38-23)13-7-17(35-2)27(36-3)28(37-4)25(13)43-29-22(33)21(32)20(31)19(8-30)42-29/h5-7,14-15,19-24,29-33H,8-11H2,1-4H3/t14-,15-,19+,20+,21-,22+,23+,24-,29-/m0/s1
SMILES COc1cc(cc2c1OCO2)[C@@H]1[C@H]2CO[C@@H](c3cc(c(c(c3O[C@H]3[C@@H]([C@H]([C@@H]([C@@H](CO)O3)O)O)O)OC)OC)OC)[C@H]2CO1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   608.21 Volume:   566.046
?
Van der Waals volume.
Dense:   1.074 LogP:   0.333
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.923
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.962
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   31.0
TPSA:   173.22
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   4.0 Rings:   6.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.313 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.826 Fsp3:   0.586
MCE-18:   126.783
?
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:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.573 Fluc inhibitor:   0.009
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.142
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.092
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.06 Promiscuous compounds:   0.104

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.68 MDCK Permeability:   -5.149
Pgp-inhibitor:   0.0 Pgp-substrate:   0.01
PAMPA:   0.262
?
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%):   0.009 30% Bioavailability (F30%):   0.054
50% Bioavailability (F50%):   0.941

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.117 MRP1:   0.401
Plasma Protein Binding (PPB):   80.592% Volume Distribution (VD):   -0.245
Fu: 20.59%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.005
BSEP inhibitor:   0.441

ADMET: Metabolism

CYP1A2-inhibitor:   0.437 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.998 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.28
CYP3A4-inhibitor:   0.894 CYP3A4-substrate:   0.274
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.07
HLM stability:   0.419
?
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):  2.556 Half-life (T1/2):  3.708

ADMET: Toxicity

hERG Blockers:  0.034 hERG Blockers (10um):  0.139
Human Hepatotoxicity (H-HT):  0.884 Drug-induced Liver Injury (DILI):  0.989
AMES Toxicity:  0.882 Rat Oral Acute Toxicity:  0.023
Maximum Recommended Daily Dose:  0.079 Skin Sensitization:  0.998
Carcinogencity:  0.37 Eye Corrosion:  0.0
Eye Irritation:  0.121 Respiratory Toxicity:  0.011
Drug-induced Neurotoxicity:  0.115 Ototoxicity:  0.916
Hematotoxicity:  0.734 Drug-induced Nephrotoxicity:  0.913
Genotoxicity:  0.831 RPMI-8226 Immunitoxicity:  0.314
A549 Cytotoxicity:  0.258 Hek293 Cytotoxicity:  0.311
BCF:   1.029
?
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:   3.357
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.293
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.043
?
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
NPO40374 Terminalia citrina Species Combretaceae Eukaryota n.a. n.a. n.a. PMID[27110635]
NPO40374 Terminalia citrina Species Combretaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT83 Cell line MCF7 Homo sapiens Activity < 0.01 uM PMID[27110635]
NPT83 Cell line MCF7 Homo sapiens Activity = 0.6 uM PMID[27110635]
NPT396 Cell line T47D Homo sapiens Activity = 5.6 uM PMID[27110635]
NPT83 Cell line MCF7 Homo sapiens Inhibition > 50.0 % PMID[27110635]

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 NPC486101 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 NPC486100
0.8769 High Similarity NPC486104
0.8592 High Similarity NPC486098
0.8209 Intermediate Similarity NPC486102
0.8108 Intermediate Similarity NPC486099
0.7612 Intermediate Similarity NPC486107
0.75 Intermediate Similarity NPC486103
0.7273 Intermediate Similarity NPC95392
0.7273 Intermediate Similarity NPC84013
0.7273 Intermediate Similarity NPC55715
0.7273 Intermediate Similarity NPC35877
0.7162 Intermediate Similarity NPC486109
0.7162 Intermediate Similarity NPC486108
0.7067 Intermediate Similarity NPC486105
0.6914 Remote Similarity NPC486097
0.6575 Remote Similarity NPC216129
0.6575 Remote Similarity NPC130449
0.6575 Remote Similarity NPC248132
0.6494 Remote Similarity NPC486106
0.625 Remote Similarity NPC276753
0.625 Remote Similarity NPC205796
0.6234 Remote Similarity NPC51328
0.6234 Remote Similarity NPC55158
0.6164 Remote Similarity NPC246947
0.5823 Remote Similarity NPC286235
0.5714 Remote Similarity NPC186316
0.5556 Remote Similarity NPC38041
0.5556 Remote Similarity NPC22150
0.5556 Remote Similarity NPC279298
0.5385 Remote Similarity NPC148893
0.5385 Remote Similarity NPC25333
0.5385 Remote Similarity NPC49235
0.507 Remote Similarity NPC185071
0.5055 Remote Similarity NPC222531

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC486101 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