Natural Product: NPC483959

Natural Product IDNPC483959
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
LYIGHNVZRJJMOV-YGVQMNHXSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 76309965
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids and derivatives
      • [CHEMONTID:0002755] Aspidospermatan-type 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 LYIGHNVZRJJMOV-YGVQMNHXSA-N
Standard InCHI InChI=1S/C42H46N4O7/c1-5-39-10-7-13-45-14-11-42(37(39)45)26-17-22(29(48)18-28(26)44-32(42)23(19-39)35(49)51-3)30-31-34(53-31)40(6-2)20-24(36(50)52-4)33-41(12-15-46(30)38(40)41)25-9-8-21(47)16-27(25)43-33/h7-10,16-18,30-31,34,37-38,43-44,47-48H,5-6,11-15,19-20H2,1-4H3/t30-,31+,34+,37+,38+,39+,40-,41+,42+/m1/s1
SMILES CC[C@]12C=CCN3CC[C@@]4(c5cc(c(cc5NC4=C(C1)C(=O)OC)O)[C@@H]1[C@H]4[C@@H]([C@@]5(CC)CC(=C6[C@]7(CCN1[C@@H]57)c1ccc(cc1N6)O)C(=O)OC)O4)[C@H]23

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   718.34 Volume:   717.384
?
Van der Waals volume.
Dense:   1.001 LogP:   2.512
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.554
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.372
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   50.0
TPSA:   136.13
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   4.0 Rings:   11.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.186 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.601 Fsp3:   0.524
MCE-18:   292.5
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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:   1
Colloidal aggregators:   0.929 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:   0.692
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.949
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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:   0.093

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.736 MDCK Permeability:   -5.223
Pgp-inhibitor:   0.0 Pgp-substrate:   1.0
PAMPA:   0.007
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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):   0.0
20% Bioavailability (F20%):   0.999 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.03 MRP1:   1.0
Plasma Protein Binding (PPB):   94.527% Volume Distribution (VD):   0.841
Fu: 5.065%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.107
OATP1B3 inhibitor:   0.004 BCRP inhibitor:   0.003
BSEP inhibitor:   0.514

ADMET: Metabolism

CYP1A2-inhibitor:   0.987 CYP1A2-substrate:   0.073
CYP2C19-inhibitor:   0.801 CYP2C19-substrate:   0.12
CYP2C9-inhibitor:   0.016 CYP2C9-substrate:   0.011
CYP2D6-inhibitor:   0.359 CYP2D6-substrate:   0.099
CYP3A4-inhibitor:   0.991 CYP3A4-substrate:   0.003
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.92
HLM stability:   0.996
?
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):  6.883 Half-life (T1/2):  1.306

ADMET: Toxicity

hERG Blockers:  0.064 hERG Blockers (10um):  0.14
Human Hepatotoxicity (H-HT):  0.873 Drug-induced Liver Injury (DILI):  0.823
AMES Toxicity:  0.725 Rat Oral Acute Toxicity:  0.702
Maximum Recommended Daily Dose:  0.983 Skin Sensitization:  0.999
Carcinogencity:  0.317 Eye Corrosion:  0.0
Eye Irritation:  0.005 Respiratory Toxicity:  0.962
Drug-induced Neurotoxicity:  0.738 Ototoxicity:  0.935
Hematotoxicity:  0.905 Drug-induced Nephrotoxicity:  0.987
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.12
A549 Cytotoxicity:  0.912 Hek293 Cytotoxicity:  0.958
BCF:   1.083
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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:   4.575
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.941
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.59
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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
NPO33137 melodinus suaveolens Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[22260257]
NPO33137 melodinus suaveolens Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[24274642]

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
NPT660 Cell line SW480 Homo sapiens IC50 = 14400.0 nM PMID[24274642]
NPT83 Cell line MCF7 Homo sapiens IC50 = 11600.0 nM PMID[24274642]
NPT81 Cell line A549 Homo sapiens IC50 = 9700.0 nM PMID[24274642]
NPT116 Cell line HL-60 Homo sapiens IC50 = 5500.0 nM PMID[24274642]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 13800.0 nM PMID[24274642]

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 NPC483959 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
0.77 Intermediate Similarity NPC77812
0.77 Intermediate Similarity NPC303387
0.7283 Intermediate Similarity NPC203628
0.7179 Intermediate Similarity NPC483960
0.6667 Remote Similarity NPC303214
0.6531 Remote Similarity NPC232600
0.6 Remote Similarity NPC5630
0.5902 Remote Similarity NPC256381
0.5758 Remote Similarity NPC123241
0.5644 Remote Similarity NPC22476
0.5631 Remote Similarity NPC119722
0.5545 Remote Similarity NPC128948
0.5538 Remote Similarity NPC162473
0.5538 Remote Similarity NPC41104
0.55 Remote Similarity NPC469722
0.5462 Remote Similarity NPC292934
0.5403 Remote Similarity NPC485928
0.5403 Remote Similarity NPC477068
0.5392 Remote Similarity NPC475147
0.5238 Remote Similarity NPC475133
0.5077 Remote Similarity NPC601853
0.5076 Remote Similarity NPC51575
0.5075 Remote Similarity NPC469734
0.5039 Remote Similarity NPC608626

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC483959 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