Natural Product: NPC249875

Natural Product IDNPC249875
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NESVMZOPWPCFAU-YTVPIDCWSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 10030389
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

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 NESVMZOPWPCFAU-YTVPIDCWSA-N
Standard InCHI InChI=1S/C30H37N5O5/c1-16(2)11-23-27(37)34-10-6-9-24(34)30(39)35(23)28(38)29(3,40-30)32-26(36)18-12-20-19-7-5-8-21-25(19)17(14-31-21)13-22(20)33(4)15-18/h5,7-8,12,14,16,18,22-24,31,39H,6,9-11,13,15H2,1-4H3,(H,32,36)/t18-,22+,23-,24-,29+,30-/m0/s1
SMILES CC(C)C[C@H]1C(=O)N2CCC[C@H]2[C@]2(N1C(=O)[C@](C)(N=C([C@H]1C=C3c4cccc5c4c(C[C@H]3N(C)C1)c[nH]5)O)O2)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   547.28 Volume:   545.384
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Van der Waals volume.
Dense:   1.003 LogP:   2.459
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.506
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.812
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   36.0
TPSA:   121.7
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Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   3.0 Rings:   7.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.4 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.121 Fsp3:   0.567
MCE-18:   149.128
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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:   0.557 Fluc inhibitor:   0.006
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.94
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.976
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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:   0.926

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.38 MDCK Permeability:   -4.981
Pgp-inhibitor:   0.03 Pgp-substrate:   0.978
PAMPA:   0.986
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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):   0.263
20% Bioavailability (F20%):   0.996 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.009 MRP1:   0.922
Plasma Protein Binding (PPB):   56.909% Volume Distribution (VD):   0.409
Fu: 38.693%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   0.981 BCRP inhibitor:   0.663
BSEP inhibitor:   0.804

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.997 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.988
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
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):  5.695 Half-life (T1/2):  1.872

ADMET: Toxicity

hERG Blockers:  0.056 hERG Blockers (10um):  0.047
Human Hepatotoxicity (H-HT):  0.998 Drug-induced Liver Injury (DILI):  0.976
AMES Toxicity:  0.939 Rat Oral Acute Toxicity:  0.759
Maximum Recommended Daily Dose:  0.823 Skin Sensitization:  1.0
Carcinogencity:  0.962 Eye Corrosion:  0.0
Eye Irritation:  0.056 Respiratory Toxicity:  0.369
Drug-induced Neurotoxicity:  0.174 Ototoxicity:  0.763
Hematotoxicity:  0.412 Drug-induced Nephrotoxicity:  0.567
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.078
A549 Cytotoxicity:  0.016 Hek293 Cytotoxicity:  0.392
BCF:   0.97
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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:   3.75
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.425
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.751
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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 NPC249875 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
0.8913 High Similarity NPC155444
0.8454 Intermediate Similarity NPC191382
0.7549 Intermediate Similarity NPC56109
0.6321 Remote Similarity NPC603739
0.6129 Remote Similarity NPC68354
0.5612 Remote Similarity NPC611966
0.5408 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 NPC249875 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
0.8454 Intermediate Similarity NPD7781 Phase 4
0.7885 Intermediate Similarity NPD7780 Approved
0.7115 Intermediate Similarity NPD7717 Phase 4
0.6789 Remote Similarity NPD7716 Approved
0.6415 Remote Similarity NPD7731 Pre-clinical
0.6129 Remote Similarity NPD3506 Phase 4
0.6126 Remote Similarity NPD7730 Approved
0.6126 Remote Similarity NPD7790 Approved
0.6126 Remote Similarity NPD7791 Phase 4
0.6 Remote Similarity NPD4079 Phase 4
0.5862 Remote Similarity NPD7789 Approved
0.5758 Remote Similarity NPD3505 Approved
0.5644 Remote Similarity NPD4076 Approved
0.5526 Remote Similarity NPD7824 Approved
0.5484 Remote Similarity NPD7951 Phase 4
0.5478 Remote Similarity NPD7271 Approved
0.5431 Remote Similarity NPD7952 Approved
0.5431 Remote Similarity NPD7953 Pre-clinical
0.5319 Remote Similarity NPD4075 Phase 2
0.5271 Remote Similarity NPD7950 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