Natural Product: NPC235885

Natural Product IDNPC235885
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
YLUDCJQWXLSNNQ-NWJVICLCSA-N
IUPAC Name n.a.
Synonyms 19-O-Acetylchaetoglobosin D
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL255720
PubChem CID 44448146
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0001819] Isoindoles and derivatives
        • [CHEMONTID:0002496] Isoindolines
          • [CHEMONTID:0001820] Isoindolones

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 YLUDCJQWXLSNNQ-NWJVICLCSA-N
Standard InCHI InChI=1S/C34H38N2O6/c1-18-9-8-11-25-31(40)21(4)20(3)30-27(16-23-17-35-26-12-7-6-10-24(23)26)36-33(41)34(25,30)29(39)14-13-28(38)32(19(2)15-18)42-22(5)37/h6-8,10-15,17-18,20,25,27,30-32,35,40H,4,9,16H2,1-3,5H3,(H,36,41)/b11-8+,14-13+,19-15-/t18-,20+,25-,27-,30-,31+,32+,34+/m0/s1
SMILES CC(=O)O[C@H]1C(=O)/C=C/C(=O)[C@@]23C(=N[C@H]([C@@H]2[C@H](C)C(=C)[C@H]([C@@H]3/C=C/C[C@@H](/C=C1/C)C)O)Cc1c[nH]c2c1cccc2)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   570.27 Volume:   596.935
?
Van der Waals volume.
Dense:   0.955 LogP:   2.974
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.963
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.138
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   36.0
TPSA:   129.05
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.352 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.197 Fsp3:   0.412
MCE-18:   148.75
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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:   0.924 Fluc inhibitor:   0.36
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.158
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.397
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.01 Promiscuous compounds:   0.593

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.339 MDCK Permeability:   -4.901
Pgp-inhibitor:   0.139 Pgp-substrate:   0.988
PAMPA:   0.995
?
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):   0.008
20% Bioavailability (F20%):   0.907 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.867
Plasma Protein Binding (PPB):   83.921% Volume Distribution (VD):   -0.215
Fu: 12.913%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.992
OATP1B3 inhibitor:   0.937 BCRP inhibitor:   0.001
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.008
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.072
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.383
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.439
CYP3A4-inhibitor:   0.003 CYP3A4-substrate:   0.772
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.962
?
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):  7.043 Half-life (T1/2):  0.646

ADMET: Toxicity

hERG Blockers:  0.002 hERG Blockers (10um):  0.006
Human Hepatotoxicity (H-HT):  1.0 Drug-induced Liver Injury (DILI):  1.0
AMES Toxicity:  0.861 Rat Oral Acute Toxicity:  0.525
Maximum Recommended Daily Dose:  0.554 Skin Sensitization:  1.0
Carcinogencity:  0.923 Eye Corrosion:  0.0
Eye Irritation:  0.872 Respiratory Toxicity:  0.782
Drug-induced Neurotoxicity:  0.366 Ototoxicity:  0.637
Hematotoxicity:  0.76 Drug-induced Nephrotoxicity:  0.998
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.135
A549 Cytotoxicity:  0.211 Hek293 Cytotoxicity:  0.349
BCF:   1.122
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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:   4.011
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.666
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.112
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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
NPO32963 Acremonium sp. Species n.a. Eukaryota n.a. n.a. n.a. PMID[12444684]
NPO32963 Acremonium sp. Species n.a. Eukaryota n.a. n.a. n.a. PMID[16441074]
NPO32963 Acremonium sp. Species n.a. Eukaryota n.a. Australian n.a. PMID[18288804]
NPO32963 Acremonium sp. Species n.a. Eukaryota n.a. n.a. n.a. PMID[19199645]
NPO32963 Acremonium sp. Species n.a. Eukaryota n.a. Mangrove Rhizophora apiculata n.a. PMID[22524636]
NPO32963 Acremonium sp. Species n.a. Eukaryota n.a. n.a. n.a. PMID[22524636]
NPO32963 Acremonium sp. Species n.a. Eukaryota n.a. n.a. n.a. PMID[25689430]
NPO32963 Acremonium sp. Species n.a. Eukaryota n.a. n.a. n.a. PMID[26928174]
NPO32963 Acremonium sp. Species n.a. 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

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 NPC235885 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
0.8511 High Similarity NPC2395
0.8191 Intermediate Similarity NPC203614
0.7732 Intermediate Similarity NPC204491
0.6931 Remote Similarity NPC87856
0.6765 Remote Similarity NPC141428
0.6667 Remote Similarity NPC225821
0.6538 Remote Similarity NPC151976
0.6538 Remote Similarity NPC487663
0.6538 Remote Similarity NPC147446
0.6408 Remote Similarity NPC98715
0.6373 Remote Similarity NPC267965
0.6286 Remote Similarity NPC46225
0.6275 Remote Similarity NPC195239
0.6238 Remote Similarity NPC157828
0.619 Remote Similarity NPC132211
0.6111 Remote Similarity NPC57690
0.5943 Remote Similarity NPC487662
0.5888 Remote Similarity NPC487661
0.5849 Remote Similarity NPC271862
0.5833 Remote Similarity NPC487664
0.5446 Remote Similarity NPC267926
0.5364 Remote Similarity NPC266192
0.5357 Remote Similarity NPC487657
0.5263 Remote Similarity NPC487658
0.513 Remote Similarity NPC487660

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC235885 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