Natural Product: NPC479864

Natural Product IDNPC479864
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OZYGMIKNDZUXKE-DLLFKZJKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 54764248
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids and derivatives
      • [CHEMONTID:0001775] Amaryllidaceae alkaloids
        • [CHEMONTID:0004120] Lycorine-type amaryllidaceae 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 OZYGMIKNDZUXKE-DLLFKZJKSA-N
Standard InCHI InChI=1S/C34H51NO5/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-31(37)40-34-28(36)20-25-18-19-35-23-26-21-29-30(39-24-38-29)22-27(26)32(34)33(25)35/h20-22,28,32-34,36H,2-19,23-24H2,1H3/t28-,32-,33+,34+/m0/s1
SMILES CCCCCCCCCCCCCCCCCC(=O)O[C@@H]1[C@H](C=C2CCN3Cc4cc5c(cc4[C@H]1[C@@H]23)OCO5)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   553.38 Volume:   595.603
?
Van der Waals volume.
Dense:   0.929 LogP:   6.977
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.321
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.698
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   18.0 Rigid Bonds:   24.0
TPSA:   68.23
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.122 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.154 Fsp3:   0.735
MCE-18:   85.051
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.978 Fluc inhibitor:   0.002
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.202
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.402
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.001 Promiscuous compounds:   0.204

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.091 MDCK Permeability:   -4.763
Pgp-inhibitor:   0.0 Pgp-substrate:   0.692
PAMPA:   0.001
?
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):   0.033
20% Bioavailability (F20%):   0.961 30% Bioavailability (F30%):   0.981
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.124 MRP1:   0.996
Plasma Protein Binding (PPB):   99.069% Volume Distribution (VD):   1.232
Fu: 1.329%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.656
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.06
BSEP inhibitor:   0.959

ADMET: Metabolism

CYP1A2-inhibitor:   0.109 CYP1A2-substrate:   0.966
CYP2C19-inhibitor:   0.563 CYP2C19-substrate:   0.108
CYP2C9-inhibitor:   0.188 CYP2C9-substrate:   1.0
CYP2D6-inhibitor:   0.993 CYP2D6-substrate:   0.999
CYP3A4-inhibitor:   0.005 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.341
HLM stability:   0.18
?
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):  4.402 Half-life (T1/2):  1.943

ADMET: Toxicity

hERG Blockers:  0.711 hERG Blockers (10um):  0.878
Human Hepatotoxicity (H-HT):  0.613 Drug-induced Liver Injury (DILI):  0.361
AMES Toxicity:  0.202 Rat Oral Acute Toxicity:  0.428
Maximum Recommended Daily Dose:  0.663 Skin Sensitization:  0.994
Carcinogencity:  0.717 Eye Corrosion:  0.011
Eye Irritation:  0.61 Respiratory Toxicity:  0.968
Drug-induced Neurotoxicity:  0.075 Ototoxicity:  0.31
Hematotoxicity:  0.306 Drug-induced Nephrotoxicity:  0.455
Genotoxicity:  0.001 RPMI-8226 Immunitoxicity:  0.11
A549 Cytotoxicity:  0.954 Hek293 Cytotoxicity:  0.464
BCF:   0.748
?
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:   5.157
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.793
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.361
?
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
NPO40778 Alkaloid lycorine Species n.a. n.a. n.a. n.a. n.a. PMID[22019045]

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
NPT83 Cell line MCF7 Homo sapiens GI50 = 38000.0 nM PMID[22019045]
NPT169 Cell line B16-F10 Mus musculus GI50 = 23000.0 nM PMID[22019045]
NPT1125 Cell line T98G Homo sapiens GI50 = 16000.0 nM PMID[22019045]
NPT81 Cell line A549 Homo sapiens GI50 = 23000.0 nM PMID[22019045]
NPT170 Cell line SK-MEL-28 Homo sapiens GI50 = 34000.0 nM PMID[22019045]
NPT306 Cell line PC-3 Homo sapiens GI50 = 26000.0 nM PMID[22019045]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. GI50 = 24000.0 nM PMID[22019045]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. GI50 = 8000.0 nM PMID[22019045]

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 NPC479864 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 NPC230098
0.9296 High Similarity NPC479865
0.9104 High Similarity NPC474745
0.8529 High Similarity NPC474325
0.8382 Intermediate Similarity NPC237044
0.8286 Intermediate Similarity NPC475981
0.7895 Intermediate Similarity NPC479866
0.7105 Intermediate Similarity NPC479860
0.679 Remote Similarity NPC479862
0.6667 Remote Similarity NPC474708
0.6667 Remote Similarity NPC479867
0.6267 Remote Similarity NPC474324
0.6184 Remote Similarity NPC475845
0.5854 Remote Similarity NPC479857
0.5733 Remote Similarity NPC190332
0.5733 Remote Similarity NPC181653
0.5732 Remote Similarity NPC479863
0.5714 Remote Similarity NPC479856
0.5658 Remote Similarity NPC320104
0.557 Remote Similarity NPC479870
0.557 Remote Similarity NPC607721
0.5488 Remote Similarity NPC479869
0.5422 Remote Similarity NPC479858
0.5375 Remote Similarity NPC33256
0.5357 Remote Similarity NPC479859
0.5287 Remote Similarity NPC479861

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC479864 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