Natural Product: NPC160508

Natural Product IDNPC160508
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
VCYHETOWRGYJEE-FLDQDSGZSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5319785
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 VCYHETOWRGYJEE-FLDQDSGZSA-N
Standard InCHI InChI=1S/C39H45N2O6/c1-40-16-14-26-21-33(43-5)35-23-29(26)30(40)18-24-8-11-28(12-9-24)46-34-20-25(10-13-32(34)42-4)19-31-37-27(15-17-41(31,2)3)22-36(44-6)38(45-7)39(37)47-35/h8-13,20-23,30-31H,14-19H2,1-7H3/q+1/t30?,31-/m0/s1
SMILES CN1CCc2cc(c3cc2C1Cc1ccc(cc1)Oc1cc(ccc1OC)C[C@H]1c2c(CC[N+]1(C)C)cc(c(c2O3)OC)OC)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   637.33 Volume:   667.62
?
Van der Waals volume.
Dense:   0.955 LogP:   2.846
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.939
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.441
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   42.0
TPSA:   58.62
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   0.0 Rings:   8.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.218 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.948 Fsp3:   0.385
MCE-18:   135.148
?
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:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   1.0 Fluc inhibitor:   0.007
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.406
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.567
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.003 Promiscuous compounds:   0.093

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.982 MDCK Permeability:   -4.798
Pgp-inhibitor:   0.17 Pgp-substrate:   0.999
PAMPA:   0.018
?
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):   0.084
20% Bioavailability (F20%):   0.99 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.147 MRP1:   0.971
Plasma Protein Binding (PPB):   54.236% Volume Distribution (VD):   -0.304
Fu: 49.558%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.089
OATP1B3 inhibitor:   0.185 BCRP inhibitor:   0.447
BSEP inhibitor:   0.97

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.795 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.99 CYP3A4-substrate:   0.847
CYP2B6-substrate:   0.994 CYP2C8-inhibitor:   0.0
HLM stability:   0.017
?
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):  6.959 Half-life (T1/2):  2.187

ADMET: Toxicity

hERG Blockers:  0.854 hERG Blockers (10um):  0.702
Human Hepatotoxicity (H-HT):  0.19 Drug-induced Liver Injury (DILI):  0.0
AMES Toxicity:  0.102 Rat Oral Acute Toxicity:  0.851
Maximum Recommended Daily Dose:  0.994 Skin Sensitization:  0.597
Carcinogencity:  0.735 Eye Corrosion:  0.0
Eye Irritation:  0.015 Respiratory Toxicity:  0.995
Drug-induced Neurotoxicity:  0.756 Ototoxicity:  0.442
Hematotoxicity:  0.02 Drug-induced Nephrotoxicity:  0.06
Genotoxicity:  0.141 RPMI-8226 Immunitoxicity:  0.065
A549 Cytotoxicity:  0.007 Hek293 Cytotoxicity:  0.609
BCF:   2.462
?
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:   6.665
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.053
?
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
NPO12773 Stephania tetrandra Species Menispermaceae Eukaryota n.a. root n.a. PMID[20030508]
NPO12773 Stephania tetrandra Species Menispermaceae Eukaryota n.a. n.a. n.a. PMID[3728032]
NPO12773 Stephania tetrandra Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[Article]
NPO12773 Stephania tetrandra Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12178 Pinellia pedatisecta Species Araceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12178 Pinellia pedatisecta Species Araceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12773 Stephania tetrandra Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12178 Pinellia pedatisecta Species Araceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12773 Stephania tetrandra Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12178 Pinellia pedatisecta Species Araceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12773 Stephania tetrandra Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12773 Stephania tetrandra Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO12773 Stephania tetrandra Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12178 Pinellia pedatisecta Species Araceae 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 NPC160508 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
0.6835 Remote Similarity NPC76682
0.6835 Remote Similarity NPC10908
0.6835 Remote Similarity NPC63646
0.6835 Remote Similarity NPC317145
0.6835 Remote Similarity NPC198498
0.6835 Remote Similarity NPC115284
0.6543 Remote Similarity NPC276890
0.6316 Remote Similarity NPC247639
0.6316 Remote Similarity NPC25084
0.618 Remote Similarity NPC195538
0.6118 Remote Similarity NPC603853
0.6092 Remote Similarity NPC311973
0.6047 Remote Similarity NPC290582
0.6047 Remote Similarity NPC217748
0.6047 Remote Similarity NPC73492
0.6047 Remote Similarity NPC182052
0.6047 Remote Similarity NPC271013
0.6047 Remote Similarity NPC299990
0.6047 Remote Similarity NPC42663
0.6047 Remote Similarity NPC15414
0.6047 Remote Similarity NPC480587
0.6023 Remote Similarity NPC116465
0.6 Remote Similarity NPC12424
0.6 Remote Similarity NPC129518
0.6 Remote Similarity NPC251580
0.5977 Remote Similarity NPC279228
0.5934 Remote Similarity NPC243454
0.5843 Remote Similarity NPC185639
0.5843 Remote Similarity NPC251735
0.5843 Remote Similarity NPC49075
0.5843 Remote Similarity NPC599951
0.5745 Remote Similarity NPC10871
0.573 Remote Similarity NPC239824
0.5698 Remote Similarity NPC227060
0.5698 Remote Similarity NPC603603
0.5667 Remote Similarity NPC254441
0.5667 Remote Similarity NPC223690
0.5667 Remote Similarity NPC9532
0.5455 Remote Similarity NPC41122
0.5455 Remote Similarity NPC318805
0.5435 Remote Similarity NPC229373
0.5393 Remote Similarity NPC480591
0.5361 Remote Similarity NPC480586
0.5361 Remote Similarity NPC480590
0.5316 Remote Similarity NPC317439
0.5263 Remote Similarity NPC212237
0.5263 Remote Similarity NPC475479
0.5227 Remote Similarity NPC41376
0.5213 Remote Similarity NPC181796
0.5213 Remote Similarity NPC290005
0.5213 Remote Similarity NPC54654
0.5213 Remote Similarity NPC7715
0.5213 Remote Similarity NPC328155
0.5213 Remote Similarity NPC222661
0.5213 Remote Similarity NPC285931
0.5208 Remote Similarity NPC24260
0.5208 Remote Similarity NPC611658
0.5158 Remote Similarity NPC16357
0.5158 Remote Similarity NPC302245
0.5152 Remote Similarity NPC82457
0.5116 Remote Similarity NPC30779
0.5104 Remote Similarity NPC323537
0.5102 Remote Similarity NPC239584
0.5054 Remote Similarity NPC475393
0.5054 Remote Similarity NPC286119
0.5052 Remote Similarity NPC485712

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC160508 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
0.7303 Intermediate Similarity NPD8053 Approved
0.7033 Intermediate Similarity NPD8054 Phase 4
0.6835 Remote Similarity NPD8099 Discontinued
0.6625 Remote Similarity NPD8252 Phase 4
0.6543 Remote Similarity NPD8251 Approved
0.631 Remote Similarity NPD8156 Discontinued
0.6047 Remote Similarity NPD8095 Phase 1

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