Natural Product: NPC75388

Natural Product IDNPC75388
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
SVMNNRZZJAFEJM-VSGBNLITSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related 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 SVMNNRZZJAFEJM-VSGBNLITSA-N
Standard InCHI InChI=1S/C36H36N2O5/c1-37-13-11-23-18-31-32-20-26(23)27(37)16-22-7-10-29(39-3)30(17-22)41-25-8-5-21(6-9-25)15-28-34-24(12-14-38(28)2)19-33(40-4)35(42-31)36(34)43-32/h5-10,17-20,27-28H,11-16H2,1-4H3/t27-,28-/m1/s1
SMILES CN1CCc2cc3c4cc2[C@H]1Cc1ccc(c(c1)Oc1ccc(cc1)C[C@@H]1c2c(CCN1C)cc(c(c2O4)O3)OC)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   576.26 Volume:   597.067
?
Van der Waals volume.
Dense:   0.965 LogP:   3.859
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.298
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.778
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   44.0
TPSA:   52.63
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   0.0 Rings:   9.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.219 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.872 Fsp3:   0.333
MCE-18:   140.0
?
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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.999 Fluc inhibitor:   0.035
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.846
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.982
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.002 Promiscuous compounds:   0.29

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.634 MDCK Permeability:   -4.799
Pgp-inhibitor:   0.592 Pgp-substrate:   0.91
PAMPA:   0.004
?
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%):   0.643 30% Bioavailability (F30%):   0.875
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.974 MRP1:   0.973
Plasma Protein Binding (PPB):   79.297% Volume Distribution (VD):   0.33
Fu: 20.769%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.672
OATP1B3 inhibitor:   0.756 BCRP inhibitor:   0.783
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.997 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.877 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.007
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.043
CYP2B6-substrate:   0.417 CYP2C8-inhibitor:   0.025
HLM stability:   0.042
?
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):  9.158 Half-life (T1/2):  2.918

ADMET: Toxicity

hERG Blockers:  0.911 hERG Blockers (10um):  0.85
Human Hepatotoxicity (H-HT):  0.665 Drug-induced Liver Injury (DILI):  0.03
AMES Toxicity:  0.752 Rat Oral Acute Toxicity:  0.889
Maximum Recommended Daily Dose:  0.987 Skin Sensitization:  0.585
Carcinogencity:  0.876 Eye Corrosion:  0.0
Eye Irritation:  0.002 Respiratory Toxicity:  0.917
Drug-induced Neurotoxicity:  0.91 Ototoxicity:  0.384
Hematotoxicity:  0.097 Drug-induced Nephrotoxicity:  0.433
Genotoxicity:  0.888 RPMI-8226 Immunitoxicity:  0.09
A549 Cytotoxicity:  0.277 Hek293 Cytotoxicity:  0.659
BCF:   2.134
?
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:   4.801
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.143
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.715
?
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
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[21123068]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[28522265]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[29641206]
NPO96 Rhododendron capitatum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1516 Passiflora suberosa Species Passifloraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO96 Rhododendron capitatum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23450 Chionographis japonica Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7389 Rhodiola atuntsuensis Species Crassulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5156 Hypoestes rosea Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23450 Chionographis japonica Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO96 Rhododendron capitatum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO96 Rhododendron capitatum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO5156 Hypoestes rosea Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7389 Rhodiola atuntsuensis Species Crassulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO96 Rhododendron capitatum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6730 Crossopteryx febrifuga Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1516 Passiflora suberosa Species Passifloraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19931 Pyrus x nivalis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24372 Artemisia palustris Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23450 Chionographis japonica Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1698 Glycyrrhiza inflata Species Fabaceae 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 NPC75388 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 NPC12424
1.0 High Similarity NPC129518
1.0 High Similarity NPC251580
0.8358 Intermediate Similarity NPC76682
0.8358 Intermediate Similarity NPC10908
0.8358 Intermediate Similarity NPC63646
0.8358 Intermediate Similarity NPC317145
0.8358 Intermediate Similarity NPC198498
0.8358 Intermediate Similarity NPC115284
0.8235 Intermediate Similarity NPC276890
0.7971 Intermediate Similarity NPC41376
0.7838 Intermediate Similarity NPC274716
0.7838 Intermediate Similarity NPC167116
0.7838 Intermediate Similarity NPC609821
0.7778 Intermediate Similarity NPC73492
0.7778 Intermediate Similarity NPC299990
0.7538 Intermediate Similarity NPC247639
0.7538 Intermediate Similarity NPC25084
0.7467 Intermediate Similarity NPC254441
0.7397 Intermediate Similarity NPC603853
0.7333 Intermediate Similarity NPC311973
0.7297 Intermediate Similarity NPC290582
0.7297 Intermediate Similarity NPC217748
0.7297 Intermediate Similarity NPC182052
0.7297 Intermediate Similarity NPC271013
0.7297 Intermediate Similarity NPC42663
0.7297 Intermediate Similarity NPC15414
0.7297 Intermediate Similarity NPC480587
0.7215 Intermediate Similarity NPC249996
0.72 Intermediate Similarity NPC279228
0.7123 Intermediate Similarity NPC227060
0.7037 Intermediate Similarity NPC239584
0.7013 Intermediate Similarity NPC116465
0.6883 Remote Similarity NPC239824
0.6795 Remote Similarity NPC185639
0.6795 Remote Similarity NPC251735
0.6795 Remote Similarity NPC49075
0.6795 Remote Similarity NPC599951
0.6667 Remote Similarity NPC139783
0.6667 Remote Similarity NPC65312
0.6667 Remote Similarity NPC611798
0.6582 Remote Similarity NPC223690
0.6582 Remote Similarity NPC9532
0.6567 Remote Similarity NPC317439
0.6447 Remote Similarity NPC603603
0.6386 Remote Similarity NPC24260
0.6296 Remote Similarity NPC229373
0.6279 Remote Similarity NPC254581
0.622 Remote Similarity NPC181796
0.622 Remote Similarity NPC290005
0.622 Remote Similarity NPC54654
0.622 Remote Similarity NPC7715
0.622 Remote Similarity NPC328155
0.622 Remote Similarity NPC222661
0.622 Remote Similarity NPC285931
0.619 Remote Similarity NPC485712
0.6163 Remote Similarity NPC480590
0.6145 Remote Similarity NPC195538
0.6071 Remote Similarity NPC212237
0.6071 Remote Similarity NPC475479
0.6071 Remote Similarity NPC243454
0.6071 Remote Similarity NPC323537
0.6 Remote Similarity NPC611658
0.5926 Remote Similarity NPC608819
0.5889 Remote Similarity NPC85381
0.5854 Remote Similarity NPC475393
0.5843 Remote Similarity NPC485711
0.5824 Remote Similarity NPC191132
0.5795 Remote Similarity NPC480586
0.5789 Remote Similarity NPC30779
0.5765 Remote Similarity NPC16357
0.5765 Remote Similarity NPC302245
0.573 Remote Similarity NPC281581
0.5682 Remote Similarity NPC10871
0.5672 Remote Similarity NPC213206
0.5672 Remote Similarity NPC188163
0.5672 Remote Similarity NPC328750
0.5663 Remote Similarity NPC286119
0.5658 Remote Similarity NPC317272
0.5658 Remote Similarity NPC268503
0.5652 Remote Similarity NPC60295
0.5616 Remote Similarity NPC104196
0.5522 Remote Similarity NPC314682
0.5443 Remote Similarity NPC256012
0.5443 Remote Similarity NPC610965
0.5385 Remote Similarity NPC11296
0.5385 Remote Similarity NPC274661
0.5385 Remote Similarity NPC82457
0.5294 Remote Similarity NPC112248
0.5281 Remote Similarity NPC8836
0.5281 Remote Similarity NPC275680
0.5281 Remote Similarity NPC22115
0.5217 Remote Similarity NPC206900
0.5213 Remote Similarity NPC475597
0.5213 Remote Similarity NPC41122
0.5213 Remote Similarity NPC318805
0.5204 Remote Similarity NPC256124
0.5185 Remote Similarity NPC480592
0.5181 Remote Similarity NPC240841
0.5119 Remote Similarity NPC480591
0.5056 Remote Similarity NPC302275

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC75388 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
0.8358 Intermediate Similarity NPD8099 Discontinued
0.7887 Intermediate Similarity NPD8156 Discontinued
0.7297 Intermediate Similarity NPD8095 Phase 1
0.5672 Remote Similarity NPD4664 Clinical (unspecified phase)

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