Natural Product: NPC595869

Natural Product IDNPC595869
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Acetyllythosenine
IUPAC Name [(7~{R},8~{R})-7-(3-hydroxy-3-methyl-butanoyl)oxy-5,6,7,8-tetrahydro-3~{H}-pyrrolizin-1-yl]methyl (2~{S})-2-[(1~{S})-1-acetoxyethyl]-2,3-dihydroxy-3-methyl-butanoate
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 RWSVCNGLTCIUJD-RONDGGJASA-N
Standard InCHI InChI=1S/C22H35NO9/c1-13(31-14(2)24)22(29,21(5,6)28)19(26)30-12-15-7-9-23-10-8-16(18(15)23)32-17(25)11-20(3,4)27/h7,13,16,18,27-29H,8-12H2,1-6H3/t13-,16+,18+,22+/m0/s1
SMILES CC(=O)O[C@@H](C)[C@@](O)(C(=O)OCC1=CCN2CC[C@@H](OC(=O)CC(C)(C)O)[C@@H]12)C(C)(C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   457.23 Volume:   451.518
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Van der Waals volume.
Dense:   1.013 LogP:   0.991
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.358
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.77
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The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   12.0
TPSA:   142.83
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Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   3.0 Rings:   2.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.247 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.617 Fsp3:   0.773
MCE-18:   51.897
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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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.069 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:   0.007
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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:   0.005 Promiscuous compounds:   0.878

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.138 MDCK Permeability:   -4.808
Pgp-inhibitor:   0.0 Pgp-substrate:   0.176
PAMPA:   0.934
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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):   0.001
20% Bioavailability (F20%):   0.004 30% Bioavailability (F30%):   0.111
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.014 MRP1:   0.94
Plasma Protein Binding (PPB):   45.237% Volume Distribution (VD):   -0.13
Fu: 49.733%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.219
BSEP inhibitor:   0.716

ADMET: Metabolism

CYP1A2-inhibitor:   0.116 CYP1A2-substrate:   0.215
CYP2C19-inhibitor:   0.103 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.002
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.01
CYP3A4-inhibitor:   0.354 CYP3A4-substrate:   0.63
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.071
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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):  3.97 Half-life (T1/2):  1.738

ADMET: Toxicity

hERG Blockers:  0.011 hERG Blockers (10um):  0.029
Human Hepatotoxicity (H-HT):  0.775 Drug-induced Liver Injury (DILI):  0.032
AMES Toxicity:  0.517 Rat Oral Acute Toxicity:  0.084
Maximum Recommended Daily Dose:  0.165 Skin Sensitization:  0.986
Carcinogencity:  0.839 Eye Corrosion:  0.0
Eye Irritation:  0.041 Respiratory Toxicity:  0.021
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.691
Hematotoxicity:  0.409 Drug-induced Nephrotoxicity:  0.462
Genotoxicity:  0.888 RPMI-8226 Immunitoxicity:  0.041
A549 Cytotoxicity:  0.002 Hek293 Cytotoxicity:  0.074
BCF:   0.377
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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:   3.089
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.884
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.049
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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
NPO8642 Lithospermum officinale Species Boraginaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO47873 Lithospermum officinale L. Genus Boraginaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8642 Lithospermum officinale Species Boraginaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8642 Lithospermum officinale Species Boraginaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8642 Lithospermum officinale Species Boraginaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8642 Lithospermum officinale Species Boraginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]

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 NPC595869 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
0.7213 Intermediate Similarity NPC609037
0.6774 Remote Similarity NPC608751
0.6562 Remote Similarity NPC608959
0.6452 Remote Similarity NPC30911
0.6452 Remote Similarity NPC608092
0.6349 Remote Similarity NPC130124
0.6349 Remote Similarity NPC193471
0.6349 Remote Similarity NPC608663
0.6308 Remote Similarity NPC316984
0.6154 Remote Similarity NPC47857
0.6154 Remote Similarity NPC181510
0.6154 Remote Similarity NPC168758
0.6154 Remote Similarity NPC602310
0.6061 Remote Similarity NPC23963
0.6061 Remote Similarity NPC201889
0.6061 Remote Similarity NPC106791
0.6061 Remote Similarity NPC607716
0.5373 Remote Similarity NPC610562
0.5312 Remote Similarity NPC6271
0.5139 Remote Similarity NPC600980

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC595869 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
0.6452 Remote Similarity NPD2204 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