Natural Product: NPC316560

Natural Product IDNPC316560
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Isodrummondin D
IUPAC Name n.a.
Synonyms Isodrummondin D
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL483235
PubChem CID NA
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000123] Benzopyrans
        • [CHEMONTID:0003410] 1-benzopyrans
          • [CHEMONTID:0003522] 2,2-dimethyl-1-benzopyrans

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 QDEXSBYEIYRPIT-UHFFFAOYSA-N
Standard InCHI InChI=1S/C28H32O8/c1-13(2)8-11-28(7)25(34)18(23(33)20(15(4)30)26(28)35)12-17-22(32)19(14(3)29)21(31)16-9-10-27(5,6)36-24(16)17/h8-10,31-32,34-35H,11-12H2,1-7H3
SMILES CC(=CCC1(C)C(=C(Cc2c(O)c(C(=O)C)c(c3c2OC(C)(C)C=C3)O)C(=O)C(=C1O)C(=O)C)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   496.21 Volume:   511.132
?
Van der Waals volume.
Dense:   0.971 LogP:   3.238
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.124
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.788
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   21.0
TPSA:   141.36
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.24 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.231 Fsp3:   0.393
MCE-18:   89.974
?
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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.555 Fluc inhibitor:   0.068
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.502
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.852
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.418 Promiscuous compounds:   0.255

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.214 MDCK Permeability:   -4.779
Pgp-inhibitor:   0.34 Pgp-substrate:   0.0
PAMPA:   0.979
?
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):   0.016
20% Bioavailability (F20%):   0.623 30% Bioavailability (F30%):   0.848
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.064 MRP1:   0.996
Plasma Protein Binding (PPB):   98.043% Volume Distribution (VD):   -0.039
Fu: 1.941%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.978 BCRP inhibitor:   0.014
BSEP inhibitor:   0.975

ADMET: Metabolism

CYP1A2-inhibitor:   0.061 CYP1A2-substrate:   0.722
CYP2C19-inhibitor:   0.004 CYP2C19-substrate:   0.221
CYP2C9-inhibitor:   0.006 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   0.029 CYP3A4-substrate:   0.007
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.945
HLM stability:   0.998
?
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):  0.999 Half-life (T1/2):  1.421

ADMET: Toxicity

hERG Blockers:  0.007 hERG Blockers (10um):  0.053
Human Hepatotoxicity (H-HT):  0.545 Drug-induced Liver Injury (DILI):  0.83
AMES Toxicity:  0.249 Rat Oral Acute Toxicity:  0.64
Maximum Recommended Daily Dose:  0.137 Skin Sensitization:  0.84
Carcinogencity:  0.113 Eye Corrosion:  0.0
Eye Irritation:  0.557 Respiratory Toxicity:  0.937
Drug-induced Neurotoxicity:  0.016 Ototoxicity:  0.703
Hematotoxicity:  0.528 Drug-induced Nephrotoxicity:  0.732
Genotoxicity:  0.88 RPMI-8226 Immunitoxicity:  0.107
A549 Cytotoxicity:  0.143 Hek293 Cytotoxicity:  0.055
BCF:   1.429
?
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:   4.732
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.599
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.155
?
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
NPO28558 Hypericum drummondii Species Hypericaceae Eukaryota n.a. root n.a. PMID[1800634]
NPO28558 Hypericum drummondii Species Hypericaceae Eukaryota n.a. n.a. n.a. PMID[2746258]
NPO28558 Hypericum drummondii Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28558 Hypericum drummondii Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28558 Hypericum drummondii Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28558 Hypericum drummondii Species Hypericaceae 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
NPT79 Organism Bacillus subtilis Bacillus subtilis MIC = 0.2 ug.mL-1 PMID[1800634]
NPT602 Organism Mycobacterium smegmatis Mycobacterium smegmatis MIC = 1.56 ug.mL-1 PMID[1800634]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 0.78 ug.mL-1 PMID[1800634]

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 NPC316560 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
0.7838 Intermediate Similarity NPC321629
0.7761 Intermediate Similarity NPC316911
0.68 Remote Similarity NPC481985
0.6538 Remote Similarity NPC481986
0.6375 Remote Similarity NPC321148
0.6145 Remote Similarity NPC323884
0.5915 Remote Similarity NPC268178
0.5867 Remote Similarity NPC325346
0.5797 Remote Similarity NPC328983
0.5541 Remote Similarity NPC180501
0.5465 Remote Similarity NPC326193
0.5325 Remote Similarity NPC54820

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC316560 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