Natural Product: NPC273359

Natural Product IDNPC273359
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XCGSFFUVFURLIX-BRMNWJGKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 115248
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids and derivatives
      • [CHEMONTID:0002679] Ergoline and derivatives
        • [CHEMONTID:0002680] Lysergic acids and derivatives
          • [CHEMONTID:0002030] Ergopeptines
            • [CHEMONTID:0000371] Ergotamines, dihydroergotamines, and derivatives

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 XCGSFFUVFURLIX-BRMNWJGKSA-N
Standard InCHI InChI=1S/C33H35N5O5/c1-32(35-29(39)21-15-23-22-10-6-11-24-28(22)20(17-34-24)16-25(23)36(2)18-21)31(41)38-26(14-19-8-4-3-5-9-19)30(40)37-13-7-12-27(37)33(38,42)43-32/h3-6,8-11,15,17,21,25-27,34,42H,7,12-14,16,18H2,1-2H3,(H,35,39)/t21-,25+,26-,27-,32+,33-/m0/s1
SMILES C[C@@]1(C(=O)N2[C@@H](Cc3ccccc3)C(=O)N3CCC[C@H]3[C@]2(O)O1)N=C([C@H]1C=C2c3cccc4c3c(C[C@H]2N(C)C1)c[nH]4)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   581.26 Volume:   580.806
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Van der Waals volume.
Dense:   1.001 LogP:   2.153
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.283
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.523
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   42.0
TPSA:   121.7
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Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   3.0 Rings:   8.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.322 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.975 Fsp3:   0.424
MCE-18:   159.532
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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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.463 Fluc inhibitor:   0.033
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.889
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.985
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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:   0.93

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.742 MDCK Permeability:   -5.144
Pgp-inhibitor:   0.988 Pgp-substrate:   1.0
PAMPA:   0.26
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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):   0.003
20% Bioavailability (F20%):   1.0 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.947
Plasma Protein Binding (PPB):   92.567% Volume Distribution (VD):   0.369
Fu: 5.669%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.981
OATP1B3 inhibitor:   0.172 BCRP inhibitor:   0.45
BSEP inhibitor:   0.99

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.073
CYP2C9-inhibitor:   0.925 CYP2C9-substrate:   0.01
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.978
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.008
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.988
?
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):  11.085 Half-life (T1/2):  2.103

ADMET: Toxicity

hERG Blockers:  0.058 hERG Blockers (10um):  0.101
Human Hepatotoxicity (H-HT):  0.999 Drug-induced Liver Injury (DILI):  0.961
AMES Toxicity:  0.808 Rat Oral Acute Toxicity:  0.886
Maximum Recommended Daily Dose:  0.956 Skin Sensitization:  0.999
Carcinogencity:  0.951 Eye Corrosion:  0.0
Eye Irritation:  0.062 Respiratory Toxicity:  0.742
Drug-induced Neurotoxicity:  0.786 Ototoxicity:  0.736
Hematotoxicity:  0.295 Drug-induced Nephrotoxicity:  0.82
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.039
A549 Cytotoxicity:  0.026 Hek293 Cytotoxicity:  0.74
BCF:   1.136
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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:   3.902
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.354
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.858
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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
NPO24009 Claviceps purpurea Species Clavicipitaceae Eukaryota n.a. n.a. n.a. PMID[17841110]
NPO24009 Claviceps purpurea Species Clavicipitaceae Eukaryota n.a. n.a. n.a. PMID[20778930]
NPO24009 Claviceps purpurea Species Clavicipitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24009 Claviceps purpurea Species Clavicipitaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24009 Claviceps purpurea Species Clavicipitaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24009 Claviceps purpurea Species Clavicipitaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO24009 Claviceps purpurea Species Clavicipitaceae 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 NPC273359 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
1.0 High Similarity NPC191382
0.8969 High Similarity NPC56109
0.7549 Intermediate Similarity NPC155444
0.6036 Remote Similarity NPC603739
0.5657 Remote Similarity NPC68354
0.534 Remote Similarity NPC611966
0.5146 Remote Similarity NPC604662

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC273359 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
1.0 High Similarity NPD7781 Phase 4
0.9293 High Similarity NPD7780 Approved
0.7358 Intermediate Similarity NPD7790 Approved
0.7358 Intermediate Similarity NPD7791 Phase 4
0.7027 Intermediate Similarity NPD7789 Approved
0.6577 Remote Similarity NPD7952 Approved
0.6577 Remote Similarity NPD7953 Pre-clinical
0.6053 Remote Similarity NPD7717 Phase 4
0.5887 Remote Similarity NPD7951 Phase 4
0.5798 Remote Similarity NPD7716 Approved
0.57 Remote Similarity NPD4079 Phase 4
0.5659 Remote Similarity NPD7950 Approved
0.5657 Remote Similarity NPD3506 Phase 4
0.5431 Remote Similarity NPD7731 Pre-clinical
0.5377 Remote Similarity NPD4076 Approved
0.5333 Remote Similarity NPD3505 Approved
0.5294 Remote Similarity NPD7824 Approved
0.525 Remote Similarity NPD7271 Approved
0.5207 Remote Similarity NPD7730 Approved
0.5051 Remote Similarity NPD4075 Phase 2

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