Natural Product: NPC489611

Natural Product IDNPC489611
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
TURTULDFIIAPTC-LWQYBKJXSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 11170714
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0002341] Phenol ethers

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 TURTULDFIIAPTC-LWQYBKJXSA-N
Standard InCHI InChI=1S/C31H30Br6N4O11/c1-48-24-16(34)5-30(26(44)21(24)36)7-18(40-51-30)28(46)38-9-13(42)11-50-23-14(32)3-12(4-15(23)33)20(43)10-39-29(47)19-8-31(52-41-19)6-17(35)25(49-2)22(37)27(31)45/h3-6,13,20,26-27,42-45H,7-11H2,1-2H3,(H,38,46)(H,39,47)/t13-,20?,26+,27+,30-,31-/m1/s1
SMILES COC1=C([C@@H]([C@@]2(C=C1Br)CC(=NO2)C(=O)NC[C@H](COc1c(cc(cc1Br)C(CNC(=O)C1=NO[C@]2(C=C(C(=C([C@@H]2O)Br)OC)Br)C1)O)Br)O)O)Br

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1107.7 Volume:   729.33
?
Van der Waals volume.
Dense:   1.519 LogP:   2.872
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.71
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.701
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   30.0
TPSA:   209.99
?
Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   6.0 Rings:   5.0
Heavy Atoms:   21.0

MedChem Properties

QED Drug-Likeness Score:   0.176 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.183 Fsp3:   0.419
MCE-18:   166.636
?
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:   0.719 Fluc inhibitor:   0.103
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.129
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.429
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.391 Promiscuous compounds:   0.008

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.987 MDCK Permeability:   -4.758
Pgp-inhibitor:   0.0 Pgp-substrate:   0.363
PAMPA:   0.353
?
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%):   0.005 30% Bioavailability (F30%):   0.179
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.054 MRP1:   1.0
Plasma Protein Binding (PPB):   95.762% Volume Distribution (VD):   0.056
Fu: 2.63%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.991 BCRP inhibitor:   0.729
BSEP inhibitor:   0.992

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.998
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.554
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.992
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.462
?
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):  0.333 Half-life (T1/2):  4.506

ADMET: Toxicity

hERG Blockers:  0.017 hERG Blockers (10um):  0.236
Human Hepatotoxicity (H-HT):  0.395 Drug-induced Liver Injury (DILI):  1.0
AMES Toxicity:  0.999 Rat Oral Acute Toxicity:  0.997
Maximum Recommended Daily Dose:  1.0 Skin Sensitization:  1.0
Carcinogencity:  1.0 Eye Corrosion:  0.0
Eye Irritation:  0.016 Respiratory Toxicity:  0.991
Drug-induced Neurotoxicity:  0.973 Ototoxicity:  0.96
Hematotoxicity:  0.003 Drug-induced Nephrotoxicity:  0.976
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.254
A549 Cytotoxicity:  0.845 Hek293 Cytotoxicity:  0.993
BCF:   1.164
?
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:   4.166
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.057
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.47
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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
NPO40305 Pseudoceratina verrucosa Species Pseudoceratinidae Eukaryota n.a. n.a. n.a. PMID[23489291]
NPO40305 Pseudoceratina verrucosa Species Pseudoceratinidae 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
NPT1523 Cell line NFF Homo sapiens Inhibition = 48.0 % PMID[23489291]
NPT306 Cell line PC-3 Homo sapiens Inhibition = 60.0 % PMID[23489291]
NPT165 Cell line HeLa Homo sapiens Inhibition = 46.0 % PMID[23489291]

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 NPC489611 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 NPC487914
1.0 High Similarity NPC604329
0.8101 Intermediate Similarity NPC487915
0.8 Intermediate Similarity NPC483876
0.8 Intermediate Similarity NPC600925
0.7442 Intermediate Similarity NPC489612
0.6667 Remote Similarity NPC480151
0.6517 Remote Similarity NPC77435
0.6517 Remote Similarity NPC259071
0.6477 Remote Similarity NPC202866
0.6237 Remote Similarity NPC606574
0.6196 Remote Similarity NPC603425
0.6061 Remote Similarity NPC227953
0.6 Remote Similarity NPC607066
0.6 Remote Similarity NPC611077
0.5938 Remote Similarity NPC607100
0.5876 Remote Similarity NPC609979
0.5814 Remote Similarity NPC487872
0.5814 Remote Similarity NPC608122
0.5743 Remote Similarity NPC603698
0.5714 Remote Similarity NPC1702
0.5618 Remote Similarity NPC487873
0.557 Remote Similarity NPC158672
0.5408 Remote Similarity NPC174607
0.5408 Remote Similarity NPC147847
0.5377 Remote Similarity NPC606635
0.5366 Remote Similarity NPC487917
0.5227 Remote Similarity NPC313173
0.5222 Remote Similarity NPC66855
0.5057 Remote Similarity NPC473262
0.5057 Remote Similarity NPC202166
0.5055 Remote Similarity NPC181086

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC489611 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