Natural Product: NPC479869

Natural Product IDNPC479869
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
JUMDGAKAPKIYPD-FNAHDJPLSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 57400240
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 JUMDGAKAPKIYPD-FNAHDJPLSA-N
Standard InCHI InChI=1S/C26H33NO8/c1-25(2,3)34-23(28)32-19-9-14-7-8-27-12-15-10-17-18(31-13-30-17)11-16(15)20(21(14)27)22(19)33-24(29)35-26(4,5)6/h9-11,19-22H,7-8,12-13H2,1-6H3/t19-,20-,21+,22+/m0/s1
SMILES CC(C)(C)OC(=O)O[C@H]1C=C2CCN3Cc4cc5c(cc4[C@@H]([C@@H]23)[C@@H]1OC(=O)OC(C)(C)C)OCO5

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   487.22 Volume:   480.97
?
Van der Waals volume.
Dense:   1.013 LogP:   3.621
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.293
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.149
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   25.0
TPSA:   92.76
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.436 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.416 Fsp3:   0.615
MCE-18:   111.571
?
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:   0.634 Fluc inhibitor:   0.091
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.458
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.573
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.003 Promiscuous compounds:   0.169

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.966 MDCK Permeability:   -4.727
Pgp-inhibitor:   0.149 Pgp-substrate:   0.123
PAMPA:   0.012
?
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):   0.0
20% Bioavailability (F20%):   0.003 30% Bioavailability (F30%):   0.002
50% Bioavailability (F50%):   0.74

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   1.0 MRP1:   0.983
Plasma Protein Binding (PPB):   86.022% Volume Distribution (VD):   0.218
Fu: 16.612%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.051
OATP1B3 inhibitor:   0.695 BCRP inhibitor:   0.016
BSEP inhibitor:   0.958

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.999
CYP2C19-inhibitor:   0.071 CYP2C19-substrate:   0.979
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.997
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.998
CYP3A4-inhibitor:   0.993 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.027 CYP2C8-inhibitor:   0.075
HLM stability:   0.432
?
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):  7.367 Half-life (T1/2):  0.632

ADMET: Toxicity

hERG Blockers:  0.215 hERG Blockers (10um):  0.485
Human Hepatotoxicity (H-HT):  0.516 Drug-induced Liver Injury (DILI):  0.644
AMES Toxicity:  0.619 Rat Oral Acute Toxicity:  0.69
Maximum Recommended Daily Dose:  0.715 Skin Sensitization:  0.65
Carcinogencity:  0.835 Eye Corrosion:  0.006
Eye Irritation:  0.333 Respiratory Toxicity:  0.77
Drug-induced Neurotoxicity:  0.731 Ototoxicity:  0.376
Hematotoxicity:  0.416 Drug-induced Nephrotoxicity:  0.714
Genotoxicity:  0.951 RPMI-8226 Immunitoxicity:  0.059
A549 Cytotoxicity:  0.228 Hek293 Cytotoxicity:  0.273
BCF:   1.642
?
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:   4.227
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.897
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.379
?
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 = 5000.0 nM PMID[22019045]
NPT169 Cell line B16-F10 Mus musculus GI50 = 4000.0 nM PMID[22019045]
NPT1125 Cell line T98G Homo sapiens GI50 = 4000.0 nM PMID[22019045]
NPT81 Cell line A549 Homo sapiens GI50 = 3000.0 nM PMID[22019045]
NPT170 Cell line SK-MEL-28 Homo sapiens GI50 = 20000.0 nM PMID[22019045]
NPT306 Cell line PC-3 Homo sapiens GI50 = 22000.0 nM PMID[22019045]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. GI50 = 9000.0 nM PMID[22019045]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. GI50 = 4000.0 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 NPC479869 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
0.7463 Intermediate Similarity NPC474324
0.7353 Intermediate Similarity NPC475845
0.7143 Intermediate Similarity NPC474708
0.6986 Remote Similarity NPC479863
0.6857 Remote Similarity NPC479870
0.6533 Remote Similarity NPC479859
0.6375 Remote Similarity NPC479862
0.6 Remote Similarity NPC237044
0.5921 Remote Similarity NPC474325
0.5823 Remote Similarity NPC479857
0.5769 Remote Similarity NPC475981
0.5769 Remote Similarity NPC474745
0.5769 Remote Similarity NPC479858
0.5733 Remote Similarity NPC607721
0.5488 Remote Similarity NPC230098
0.5488 Remote Similarity NPC479864
0.5479 Remote Similarity NPC190332
0.5479 Remote Similarity NPC181653
0.5432 Remote Similarity NPC479860
0.5432 Remote Similarity NPC479867
0.5263 Remote Similarity NPC479856
0.5238 Remote Similarity NPC479861
0.5233 Remote Similarity NPC479866
0.52 Remote Similarity NPC320104
0.5172 Remote Similarity NPC479865

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC479869 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