Natural Product: NPC479870

Natural Product IDNPC479870
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
HHUMLACGQZFTEU-FNAHDJPLSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 54764246
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 HHUMLACGQZFTEU-FNAHDJPLSA-N
Standard InCHI InChI=1S/C22H25NO4/c1-3-7-24-19-9-14-5-6-23-12-15-10-17-18(27-13-26-17)11-16(15)20(21(14)23)22(19)25-8-4-2/h3-4,9-11,19-22H,1-2,5-8,12-13H2/t19-,20-,21+,22+/m0/s1
SMILES C=CCO[C@H]1C=C2CCN3Cc4cc5c(cc4[C@@H]([C@@H]23)[C@@H]1OCC=C)OCO5

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   367.18 Volume:   376.625
?
Van der Waals volume.
Dense:   0.975 LogP:   2.415
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.495
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.012
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   25.0
TPSA:   40.16
?
Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.723 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.478 Fsp3:   0.455
MCE-18:   87.5
?
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.517 Fluc inhibitor:   0.111
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.154
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.123
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.003 Promiscuous compounds:   0.309

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.582 MDCK Permeability:   -4.757
Pgp-inhibitor:   0.336 Pgp-substrate:   0.037
PAMPA:   0.0
?
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%):   0.419 30% Bioavailability (F30%):   0.686
50% Bioavailability (F50%):   0.794

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.491 MRP1:   0.75
Plasma Protein Binding (PPB):   89.562% Volume Distribution (VD):   0.091
Fu: 13.298%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.977
OATP1B3 inhibitor:   0.829 BCRP inhibitor:   0.344
BSEP inhibitor:   0.975

ADMET: Metabolism

CYP1A2-inhibitor:   0.77 CYP1A2-substrate:   0.933
CYP2C19-inhibitor:   0.793 CYP2C19-substrate:   0.101
CYP2C9-inhibitor:   0.401 CYP2C9-substrate:   0.999
CYP2D6-inhibitor:   0.915 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.028 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.031 CYP2C8-inhibitor:   0.019
HLM stability:   0.387
?
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):  11.249 Half-life (T1/2):  1.788

ADMET: Toxicity

hERG Blockers:  0.289 hERG Blockers (10um):  0.643
Human Hepatotoxicity (H-HT):  0.466 Drug-induced Liver Injury (DILI):  0.322
AMES Toxicity:  0.614 Rat Oral Acute Toxicity:  0.715
Maximum Recommended Daily Dose:  0.655 Skin Sensitization:  0.843
Carcinogencity:  0.777 Eye Corrosion:  0.026
Eye Irritation:  0.683 Respiratory Toxicity:  0.884
Drug-induced Neurotoxicity:  0.777 Ototoxicity:  0.337
Hematotoxicity:  0.348 Drug-induced Nephrotoxicity:  0.247
Genotoxicity:  0.893 RPMI-8226 Immunitoxicity:  0.07
A549 Cytotoxicity:  0.109 Hek293 Cytotoxicity:  0.3
BCF:   1.336
?
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:   3.494
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.229
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.626
?
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 = 200.0 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 = 4000.0 nM PMID[22019045]
NPT170 Cell line SK-MEL-28 Homo sapiens GI50 = 6000.0 nM PMID[22019045]
NPT306 Cell line PC-3 Homo sapiens GI50 = 1000.0 nM PMID[22019045]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. GI50 = 2000.0 nM PMID[22019045]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. GI50 = 30.0 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 NPC479870 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
0.7385 Intermediate Similarity NPC474324
0.7273 Intermediate Similarity NPC475845
0.7059 Intermediate Similarity NPC474708
0.6857 Remote Similarity NPC479869
0.6667 Remote Similarity NPC479859
0.6667 Remote Similarity NPC479863
0.6282 Remote Similarity NPC479862
0.6056 Remote Similarity NPC607721
0.6029 Remote Similarity NPC190332
0.6029 Remote Similarity NPC181653
0.589 Remote Similarity NPC237044
0.5811 Remote Similarity NPC474325
0.5658 Remote Similarity NPC475981
0.5658 Remote Similarity NPC474745
0.5658 Remote Similarity NPC479858
0.557 Remote Similarity NPC230098
0.557 Remote Similarity NPC479864
0.5513 Remote Similarity NPC479857
0.5513 Remote Similarity NPC479860
0.5513 Remote Similarity NPC479867
0.5493 Remote Similarity NPC320104
0.5342 Remote Similarity NPC479856
0.5309 Remote Similarity NPC479861
0.5238 Remote Similarity NPC479865
0.5119 Remote Similarity NPC479866
0.5068 Remote Similarity NPC246597

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC479870 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