Natural Product: NPC97667

Natural Product IDNPC97667
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
SUKGHCPJNGDNSA-LLKZBMCISA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL191573
PubChem CID 636819
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0002995] Pentacarboxylic acids 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 SUKGHCPJNGDNSA-LLKZBMCISA-N
Standard InCHI InChI=1S/C30H38O12/c1-16(31)37-15-29-23(41-26(35)20-11-9-8-10-12-20)13-21-24(39-18(3)33)30(29,42-27(21,5)6)28(7,36)14-22(38-17(2)32)25(29)40-19(4)34/h8-12,21-25,36H,13-15H2,1-7H3/t21-,22+,23+,24-,25+,28+,29-,30+/m1/s1
SMILES CC(=O)OC[C@@]12[C@H](C[C@@H]3[C@H]([C@@]2([C@](C)(C[C@@H]([C@@H]1OC(=O)C)OC(=O)C)O)OC3(C)C)OC(=O)C)OC(=O)c1ccccc1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   590.24 Volume:   577.601
?
Van der Waals volume.
Dense:   1.022 LogP:   2.495
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.708
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.052
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   25.0
TPSA:   160.96
?
Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.365 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.88 Fsp3:   0.633
MCE-18:   155.714
?
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:   0
Colloidal aggregators:   0.173 Fluc inhibitor:   0.036
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.034
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.099 Promiscuous compounds:   0.299

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.068 MDCK Permeability:   -4.683
Pgp-inhibitor:   0.997 Pgp-substrate:   0.488
PAMPA:   0.279
?
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%):   0.109 30% Bioavailability (F30%):   0.5
50% Bioavailability (F50%):   0.987

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.209 MRP1:   1.0
Plasma Protein Binding (PPB):   58.821% Volume Distribution (VD):   -0.376
Fu: 36.104%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.957 BCRP inhibitor:   0.004
BSEP inhibitor:   0.988

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.119
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.005
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.052
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.872
?
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):  1.841 Half-life (T1/2):  1.309

ADMET: Toxicity

hERG Blockers:  0.011 hERG Blockers (10um):  0.18
Human Hepatotoxicity (H-HT):  0.076 Drug-induced Liver Injury (DILI):  0.601
AMES Toxicity:  0.914 Rat Oral Acute Toxicity:  0.416
Maximum Recommended Daily Dose:  0.263 Skin Sensitization:  0.998
Carcinogencity:  0.885 Eye Corrosion:  0.01
Eye Irritation:  0.586 Respiratory Toxicity:  0.036
Drug-induced Neurotoxicity:  0.367 Ototoxicity:  0.18
Hematotoxicity:  0.12 Drug-induced Nephrotoxicity:  0.575
Genotoxicity:  0.717 RPMI-8226 Immunitoxicity:  0.068
A549 Cytotoxicity:  0.168 Hek293 Cytotoxicity:  0.427
BCF:   0.539
?
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:   3.537
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.146
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.591
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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
NPO33107 zinowiewia costaricensis Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[15974580]
NPO26437 Maytenus jelskii Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[20146433]
NPO26437 Maytenus jelskii Species Celastraceae Eukaryota fruits n.a. n.a. PMID[21856049]
NPO26437 Maytenus jelskii Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[27541714]
NPO26437 Maytenus jelskii Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO33107 zinowiewia costaricensis Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26437 Maytenus jelskii Species Celastraceae 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
NPT886 Cell line NIH3T3 Mus musculus Ki = 4392.0 nM DrugMatrix in vitro pharmacology data
NPT80 Cell line Raji Homo sapiens Activity = 60.0 % PMID[18955522]
NPT2 Others Unspecified n.a. Activity = 0.0 % PMID[2292689]
NPT2 Others Unspecified n.a. Activity = 31.1 % PMID[18578517]
NPT2 Others Unspecified n.a. Activity = 75.4 % PMID[14695811]
NPT2 Others Unspecified n.a. Activity = 95.1 % PMID[23992864]

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 NPC97667 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
0.9385 High Similarity NPC70716
0.9385 High Similarity NPC95265
0.9104 High Similarity NPC479042
0.7973 Intermediate Similarity NPC610134
0.7922 Intermediate Similarity NPC294512
0.7595 Intermediate Similarity NPC483868
0.7571 Intermediate Similarity NPC171207
0.7468 Intermediate Similarity NPC176413
0.7468 Intermediate Similarity NPC483885
0.7468 Intermediate Similarity NPC479045
0.7361 Intermediate Similarity NPC11685
0.7361 Intermediate Similarity NPC16912
0.7123 Intermediate Similarity NPC472570
0.7067 Intermediate Similarity NPC481489
0.7042 Intermediate Similarity NPC479047
0.7042 Intermediate Similarity NPC291638
0.6892 Remote Similarity NPC472569
0.6883 Remote Similarity NPC6815
0.6806 Remote Similarity NPC4341
0.68 Remote Similarity NPC96903
0.6757 Remote Similarity NPC479044
0.6753 Remote Similarity NPC481488
0.6711 Remote Similarity NPC282239
0.6711 Remote Similarity NPC472568
0.6625 Remote Similarity NPC479041
0.6575 Remote Similarity NPC191082
0.65 Remote Similarity NPC479048
0.6486 Remote Similarity NPC43241
0.6456 Remote Similarity NPC479049
0.6447 Remote Similarity NPC57628
0.6282 Remote Similarity NPC471102
0.6267 Remote Similarity NPC139067
0.6267 Remote Similarity NPC177340
0.6154 Remote Similarity NPC184747
0.6104 Remote Similarity NPC41481
0.6076 Remote Similarity NPC481490
0.6053 Remote Similarity NPC67777
0.6053 Remote Similarity NPC158663
0.6 Remote Similarity NPC17877
0.6 Remote Similarity NPC281717
0.5926 Remote Similarity NPC481487
0.5833 Remote Similarity NPC56953
0.5769 Remote Similarity NPC471104
0.5765 Remote Similarity NPC75600
0.5765 Remote Similarity NPC483884
0.575 Remote Similarity NPC106895
0.5676 Remote Similarity NPC195647
0.5658 Remote Similarity NPC483879
0.5641 Remote Similarity NPC270590
0.5641 Remote Similarity NPC27377
0.561 Remote Similarity NPC609309
0.5584 Remote Similarity NPC483902
0.5584 Remote Similarity NPC472577
0.5584 Remote Similarity NPC483886
0.5581 Remote Similarity NPC483870
0.5542 Remote Similarity NPC481486
0.5513 Remote Similarity NPC48017
0.5513 Remote Similarity NPC147880
0.5476 Remote Similarity NPC488917
0.5467 Remote Similarity NPC473081
0.5467 Remote Similarity NPC200592
0.5467 Remote Similarity NPC610542
0.5455 Remote Similarity NPC483869
0.5443 Remote Similarity NPC471101
0.5432 Remote Similarity NPC266265
0.5375 Remote Similarity NPC473673
0.5375 Remote Similarity NPC471100
0.5375 Remote Similarity NPC605884
0.5316 Remote Similarity NPC246480
0.5301 Remote Similarity NPC476970
0.5263 Remote Similarity NPC270498
0.525 Remote Similarity NPC148062
0.5244 Remote Similarity NPC479043
0.5227 Remote Similarity NPC127026
0.5227 Remote Similarity NPC483890
0.519 Remote Similarity NPC473060
0.5125 Remote Similarity NPC483883
0.5125 Remote Similarity NPC151585
0.5122 Remote Similarity NPC92293
0.5114 Remote Similarity NPC184817
0.5062 Remote Similarity NPC147217
0.5062 Remote Similarity NPC137718

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC97667 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