Natural Product: NPC9579

Natural Product IDNPC9579
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
CHWMTSYJQGXKSR-OTWKOPSSSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 23902351
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 CHWMTSYJQGXKSR-OTWKOPSSSA-N
Standard InCHI InChI=1S/C27H34O10/c1-16-8-10-33-21(29)5-3-4-6-22(30)37-18-12-20-27(15-35-27)25(18,2)26(14-34-24(32)23(16)31)9-7-17(13-28)11-19(26)36-20/h3-6,11,16,18-20,23,28,31H,7-10,12-15H2,1-2H3/b5-3+,6-4-/t16-,18-,19-,20-,23+,25-,26-,27+/m1/s1
SMILES C[C@@H]1CCOC(=O)/C=C/C=CC(=O)O[C@@H]2C[C@@H]3[C@@]4(CO4)[C@@]2(C)[C@]2(CCC(=C[C@H]2O3)CO)COC(=O)[C@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   518.22 Volume:   504.849
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Van der Waals volume.
Dense:   1.026 LogP:   0.813
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.237
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.784
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   36.0
TPSA:   141.12
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Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.225 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.118 Fsp3:   0.667
MCE-18:   121.0
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.922 Fluc inhibitor:   0.02
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.025
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.064
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.158 Promiscuous compounds:   0.601

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.072 MDCK Permeability:   -4.773
Pgp-inhibitor:   0.007 Pgp-substrate:   0.362
PAMPA:   0.841
?
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):   0.002
20% Bioavailability (F20%):   0.828 30% Bioavailability (F30%):   0.88
50% Bioavailability (F50%):   0.979

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.562
Plasma Protein Binding (PPB):   57.404% Volume Distribution (VD):   -0.12
Fu: 44.025%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.731
OATP1B3 inhibitor:   0.677 BCRP inhibitor:   0.0
BSEP inhibitor:   0.997

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.042
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.952
?
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):  2.657 Half-life (T1/2):  3.024

ADMET: Toxicity

hERG Blockers:  0.029 hERG Blockers (10um):  0.062
Human Hepatotoxicity (H-HT):  0.996 Drug-induced Liver Injury (DILI):  1.0
AMES Toxicity:  0.925 Rat Oral Acute Toxicity:  0.048
Maximum Recommended Daily Dose:  0.999 Skin Sensitization:  1.0
Carcinogencity:  0.425 Eye Corrosion:  0.0
Eye Irritation:  0.9 Respiratory Toxicity:  0.939
Drug-induced Neurotoxicity:  0.897 Ototoxicity:  0.837
Hematotoxicity:  0.22 Drug-induced Nephrotoxicity:  0.993
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.953
A549 Cytotoxicity:  0.731 Hek293 Cytotoxicity:  0.871
BCF:   0.645
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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:   3.401
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.234
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.594
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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
NPO6563 Paramyrothecium roridum Species Stachybotryaceae Eukaryota n.a. n.a. n.a. PMID[31117520]
NPO6563 Paramyrothecium roridum Species Stachybotryaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6563 Paramyrothecium roridum Species Stachybotryaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6563 Paramyrothecium roridum Species Stachybotryaceae 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
NPT111 Cell line K562 Homo sapiens IC50 = 1.7 nM PMID[31117520]
NPT2482 Cell line SW 1116 Homo sapiens IC50 = 12.0 nM PMID[31117520]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 190.0 % PMID[19586689]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 2.279 n.a. PMID[19586689]

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 NPC9579 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
0.8986 High Similarity NPC98038
0.8986 High Similarity NPC313921
0.7564 Intermediate Similarity NPC101965
0.7564 Intermediate Similarity NPC101400
0.7397 Intermediate Similarity NPC484152
0.675 Remote Similarity NPC108682
0.6375 Remote Similarity NPC469959
0.6375 Remote Similarity NPC469957
0.6316 Remote Similarity NPC98813
0.6316 Remote Similarity NPC600365
0.631 Remote Similarity NPC484149
0.6024 Remote Similarity NPC29389
0.6024 Remote Similarity NPC112316
0.5977 Remote Similarity NPC484144
0.5952 Remote Similarity NPC472263
0.5778 Remote Similarity NPC484153
0.5778 Remote Similarity NPC484925
0.5632 Remote Similarity NPC484923
0.5632 Remote Similarity NPC484922
0.5529 Remote Similarity NPC13743
0.5333 Remote Similarity NPC474286
0.5333 Remote Similarity NPC484150
0.5326 Remote Similarity NPC475130
0.5326 Remote Similarity NPC484151
0.5165 Remote Similarity NPC484155
0.5161 Remote Similarity NPC484145
0.5114 Remote Similarity NPC305044
0.5114 Remote Similarity NPC265290
0.5068 Remote Similarity NPC486260

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC9579 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