Natural Product: NPC473667

Natural Product IDNPC473667
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Avadharidine
IUPAC Name n.a.
Synonyms Avadharidine
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL448609
PubChem CID 44566469
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0003788] Aconitane-type diterpenoid alkaloids

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 ZBALYAJAWGGUCX-RLNVAPDASA-N
Standard InCHI InChI=1S/C36H51N3O10/c1-6-39-17-33(18-49-31(42)19-9-7-8-10-22(19)38-26(41)12-11-25(37)40)14-13-24(46-3)35-21-15-20-23(45-2)16-34(43,27(21)28(20)47-4)36(44,32(35)39)30(48-5)29(33)35/h7-10,20-21,23-24,27-30,32,43-44H,6,11-18H2,1-5H3,(H2,37,40)(H,38,41)/t20-,21-,23+,24+,27-,28+,29-,30+,32+,33+,34-,35+,36+/m1/s1
SMILES CCN1CC2(CCC(C34C2C(C(C31)(C5(CC(C6CC4C5C6OC)OC)O)O)OC)OC)COC(=O)C7=CC=CC=C7NC(=O)CCC(=O)N

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   685.36 Volume:   676.391
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Van der Waals volume.
Dense:   1.013 LogP:   1.936
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.29
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.227
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The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   33.0
TPSA:   179.11
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Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   5.0 Rings:   7.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.233 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.081 Fsp3:   0.75
MCE-18:   219.429
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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:   0.005 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.019
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.345
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.001 Promiscuous compounds:   0.025

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.331 MDCK Permeability:   -5.049
Pgp-inhibitor:   0.0 Pgp-substrate:   0.708
PAMPA:   0.982
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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):   0.397
20% Bioavailability (F20%):   0.053 30% Bioavailability (F30%):   0.553
50% Bioavailability (F50%):   0.907

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.122 MRP1:   0.997
Plasma Protein Binding (PPB):   84.611% Volume Distribution (VD):   0.315
Fu: 17.666%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.022
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.0
BSEP inhibitor:   0.571

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.794 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.009 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.344 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.003 CYP2C8-inhibitor:   0.0
HLM stability:   0.019
?
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):  8.72 Half-life (T1/2):  1.137

ADMET: Toxicity

hERG Blockers:  0.33 hERG Blockers (10um):  0.456
Human Hepatotoxicity (H-HT):  0.286 Drug-induced Liver Injury (DILI):  0.249
AMES Toxicity:  0.335 Rat Oral Acute Toxicity:  0.218
Maximum Recommended Daily Dose:  0.552 Skin Sensitization:  0.674
Carcinogencity:  0.072 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.57
Drug-induced Neurotoxicity:  0.872 Ototoxicity:  0.879
Hematotoxicity:  0.039 Drug-induced Nephrotoxicity:  0.049
Genotoxicity:  0.972 RPMI-8226 Immunitoxicity:  0.12
A549 Cytotoxicity:  0.007 Hek293 Cytotoxicity:  0.38
BCF:   0.473
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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:   3.773
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.741
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.534
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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
NPO33014 delphinium cashmirianum Species Ranunculaceae Eukaryota n.a. n.a. n.a. PMID[541686]

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
NPT419 Organism Oryctolagus cuniculus Oryctolagus cuniculus Activity = 8.0 bpm DrugMatrix in vitro pharmacology data
NPT419 Organism Oryctolagus cuniculus Oryctolagus cuniculus Activity = 0.0 bpm PMID[15679321]
NPT419 Organism Oryctolagus cuniculus Oryctolagus cuniculus Activity = 5.0 bpm PMID[25237727]
NPT419 Organism Oryctolagus cuniculus Oryctolagus cuniculus Activity = -10.0 bpm PMID[15679321]

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 NPC473667 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
0.7041 Intermediate Similarity NPC223590
0.6606 Remote Similarity NPC106593
0.6538 Remote Similarity NPC473781
0.6415 Remote Similarity NPC35390
0.6415 Remote Similarity NPC611189
0.6182 Remote Similarity NPC481816
0.6036 Remote Similarity NPC470631
0.5982 Remote Similarity NPC481815
0.5897 Remote Similarity NPC605697
0.5847 Remote Similarity NPC603798
0.5833 Remote Similarity NPC476501
0.5678 Remote Similarity NPC603869
0.5593 Remote Similarity NPC602545
0.5556 Remote Similarity NPC600720
0.5462 Remote Similarity NPC599985
0.5372 Remote Similarity NPC609143
0.5333 Remote Similarity NPC610006
0.5328 Remote Similarity NPC610425
0.5312 Remote Similarity NPC474210
0.5208 Remote Similarity NPC96080
0.5208 Remote Similarity NPC99905
0.5208 Remote Similarity NPC208118
0.5164 Remote Similarity NPC605561
0.5164 Remote Similarity NPC608036
0.5128 Remote Similarity NPC475316

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC473667 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