Natural Product: NPC260809

Natural Product IDNPC260809
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NTQOBLPQKXJXCZ-RKESYOIOSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL412361
PubChem CID 14446336
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001550] Sesquiterpenoids
          • [CHEMONTID:0001789] Trichothecenes

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 NTQOBLPQKXJXCZ-RKESYOIOSA-N
Standard InCHI InChI=1S/C25H36O9/c1-6-7-8-9-19(28)33-17-11-24(12-30-15(3)26)18(10-14(17)2)34-22-20(29)21(32-16(4)27)23(24,5)25(22)13-31-25/h10,17-18,20-22,29H,6-9,11-13H2,1-5H3/t17-,18+,20+,21+,22+,23+,24+,25-/m0/s1
SMILES CCCCCC(=O)O[C@H]1C[C@@]2(COC(=O)C)[C@@H](C=C1C)O[C@@H]1[C@@H]([C@H]([C@@]2(C)[C@@]21CO2)OC(=O)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   480.24 Volume:   475.296
?
Van der Waals volume.
Dense:   1.01 LogP:   2.558
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.55
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.739
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   20.0
TPSA:   120.89
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.183 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.962 Fsp3:   0.8
MCE-18:   103.333
?
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:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.782 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.014
?
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:   0.188 Promiscuous compounds:   0.738

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.291 MDCK Permeability:   -4.909
Pgp-inhibitor:   0.82 Pgp-substrate:   0.995
PAMPA:   0.798
?
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):   0.077
20% Bioavailability (F20%):   0.994 30% Bioavailability (F30%):   0.988
50% Bioavailability (F50%):   0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.025 MRP1:   0.99
Plasma Protein Binding (PPB):   77.876% Volume Distribution (VD):   -0.25
Fu: 22.073%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.89
OATP1B3 inhibitor:   0.084 BCRP inhibitor:   0.04
BSEP inhibitor:   0.963

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.321
CYP2C19-inhibitor:   0.546 CYP2C19-substrate:   0.021
CYP2C9-inhibitor:   0.019 CYP2C9-substrate:   0.454
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.068
CYP3A4-inhibitor:   0.046 CYP3A4-substrate:   0.436
CYP2B6-substrate:   0.025 CYP2C8-inhibitor:   0.998
HLM stability:   0.981
?
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):  4.491 Half-life (T1/2):  0.884

ADMET: Toxicity

hERG Blockers:  0.02 hERG Blockers (10um):  0.222
Human Hepatotoxicity (H-HT):  0.348 Drug-induced Liver Injury (DILI):  0.899
AMES Toxicity:  0.99 Rat Oral Acute Toxicity:  0.845
Maximum Recommended Daily Dose:  0.777 Skin Sensitization:  1.0
Carcinogencity:  0.382 Eye Corrosion:  0.005
Eye Irritation:  0.711 Respiratory Toxicity:  0.479
Drug-induced Neurotoxicity:  0.516 Ototoxicity:  0.585
Hematotoxicity:  0.685 Drug-induced Nephrotoxicity:  0.983
Genotoxicity:  0.918 RPMI-8226 Immunitoxicity:  0.563
A549 Cytotoxicity:  0.681 Hek293 Cytotoxicity:  0.178
BCF:   0.642
?
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:   3.602
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.688
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.0
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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
NPO11220 Fusarium sporotrichioides Species Nectriaceae Eukaryota n.a. n.a. n.a. PMID[1800633]
NPO11220 Fusarium sporotrichioides Species Nectriaceae Eukaryota n.a. n.a. n.a. PMID[25475336]
NPO11220 Fusarium sporotrichioides Species Nectriaceae Eukaryota n.a. n.a. n.a. PMID[8289061]
NPO10844 Lactarius pergamenus Species Russulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11220 Fusarium sporotrichioides Species Nectriaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4524 Bosistoa pentacocca Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10844 Lactarius pergamenus Species Russulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4524 Bosistoa pentacocca Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10844 Lactarius pergamenus Species Russulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11220 Fusarium sporotrichioides Species Nectriaceae 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 NPC260809 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 NPC474783
0.9455 High Similarity NPC252242
0.9455 High Similarity NPC475956
0.9091 High Similarity NPC26557
0.8393 Intermediate Similarity NPC79449
0.8393 Intermediate Similarity NPC474957
0.8364 Intermediate Similarity NPC347923
0.8364 Intermediate Similarity NPC608318
0.7966 Intermediate Similarity NPC200672
0.6667 Remote Similarity NPC274458
0.6393 Remote Similarity NPC476057
0.629 Remote Similarity NPC240838
0.629 Remote Similarity NPC600295
0.619 Remote Similarity NPC50223
0.5672 Remote Similarity NPC232515
0.5588 Remote Similarity NPC214714
0.5588 Remote Similarity NPC607785

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC260809 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