Natural Product: NPC578730

Natural Product IDNPC578730
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
methyl (1~{S},15~{R},18~{S},19~{R},20~{R})-18-acetoxy-1,3,11,12,14,15,16,17,18,19,20,21-dodecahydroyohimban-19-carboxylate
IUPAC Name methyl (1~{S},15~{R},18~{S},19~{R},20~{R})-18-acetoxy-1,3,11,12,14,15,16,17,18,19,20,21-dodecahydroyohimban-19-carboxylate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 AVICMXMDDSGUEL-XPVMQVPNSA-N
Standard InCHI InChI=1S/C23H28N2O4/c1-13(26)29-20-8-7-14-12-25-10-9-16-15-5-3-4-6-18(15)24-22(16)19(25)11-17(14)21(20)23(27)28-2/h3-6,14,17,19-21,24H,7-12H2,1-2H3/t14-,17+,19-,20-,21+/m0/s1
SMILES COC(=O)[C@@H]1[C@@H]2C[C@H]3C4=C(CCN3C[C@@H]2CC[C@@H]1OC(C)=O)C1=CC=CC=C1N4

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   396.2 Volume:   404.917
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Van der Waals volume.
Dense:   0.978 LogP:   2.729
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.677
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.775
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   27.0
TPSA:   71.63
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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:   0.789 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.955 Fsp3:   0.565
MCE-18:   97.5
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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:   0.251 Fluc inhibitor:   0.008
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.54
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.015
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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:   0.938

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.408 MDCK Permeability:   -4.906
Pgp-inhibitor:   0.001 Pgp-substrate:   0.447
PAMPA:   0.212
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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%):   0.196 30% Bioavailability (F30%):   0.376
50% Bioavailability (F50%):   0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.913 MRP1:   0.997
Plasma Protein Binding (PPB):   86.344% Volume Distribution (VD):   0.132
Fu: 13.341%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.969
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.481
BSEP inhibitor:   0.94

ADMET: Metabolism

CYP1A2-inhibitor:   0.26 CYP1A2-substrate:   0.015
CYP2C19-inhibitor:   0.987 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.997
CYP2D6-inhibitor:   0.167 CYP2D6-substrate:   0.027
CYP3A4-inhibitor:   0.941 CYP3A4-substrate:   0.216
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.995
HLM stability:   0.555
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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):  6.058 Half-life (T1/2):  0.932

ADMET: Toxicity

hERG Blockers:  0.37 hERG Blockers (10um):  0.516
Human Hepatotoxicity (H-HT):  0.473 Drug-induced Liver Injury (DILI):  0.239
AMES Toxicity:  0.655 Rat Oral Acute Toxicity:  0.701
Maximum Recommended Daily Dose:  0.889 Skin Sensitization:  0.974
Carcinogencity:  0.651 Eye Corrosion:  0.001
Eye Irritation:  0.327 Respiratory Toxicity:  0.935
Drug-induced Neurotoxicity:  0.684 Ototoxicity:  0.405
Hematotoxicity:  0.174 Drug-induced Nephrotoxicity:  0.61
Genotoxicity:  0.907 RPMI-8226 Immunitoxicity:  0.044
A549 Cytotoxicity:  0.222 Hek293 Cytotoxicity:  0.46
BCF:   0.669
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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:   3.515
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.995
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.499
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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
NPO43828 Aspidosperma excelsum Benth. Genus Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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

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 NPC578730 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
0.7089 Intermediate Similarity NPC313985
0.7089 Intermediate Similarity NPC249150
0.7089 Intermediate Similarity NPC33619
0.7 Intermediate Similarity NPC81654
0.6962 Remote Similarity NPC486452
0.6962 Remote Similarity NPC74591
0.6265 Remote Similarity NPC486449
0.6265 Remote Similarity NPC63199
0.6265 Remote Similarity NPC111602
0.6265 Remote Similarity NPC102338
0.6265 Remote Similarity NPC486443
0.6265 Remote Similarity NPC486446
0.6265 Remote Similarity NPC196251
0.617 Remote Similarity NPC191489
0.6047 Remote Similarity NPC312870
0.6047 Remote Similarity NPC199851
0.6047 Remote Similarity NPC294909
0.6047 Remote Similarity NPC254240
0.6047 Remote Similarity NPC128265
0.6047 Remote Similarity NPC604675
0.575 Remote Similarity NPC185200
0.5698 Remote Similarity NPC273374
0.5632 Remote Similarity NPC175474
0.5632 Remote Similarity NPC99921
0.5455 Remote Similarity NPC107782
0.5455 Remote Similarity NPC486454
0.5432 Remote Similarity NPC21174
0.5281 Remote Similarity NPC50503
0.5281 Remote Similarity NPC607669
0.52 Remote Similarity NPC100734
0.52 Remote Similarity NPC88923
0.52 Remote Similarity NPC315634
0.5181 Remote Similarity NPC229173
0.5169 Remote Similarity NPC483467
0.5146 Remote Similarity NPC284685
0.5114 Remote Similarity NPC220151
0.5114 Remote Similarity NPC19692
0.5059 Remote Similarity NPC474897
0.5055 Remote Similarity NPC611453

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC578730 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
0.7089 Intermediate Similarity NPD4601 Phase 4
0.7 Intermediate Similarity NPD4600 Approved
0.617 Remote Similarity NPD7708 Phase 4
0.6047 Remote Similarity NPD4500 Approved
0.6047 Remote Similarity NPD4501 Approved
0.52 Remote Similarity NPD7803 Phase 4
0.5146 Remote Similarity NPD7955 Phase 4
0.5146 Remote Similarity NPD7956 Approved

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