Natural Product: NPC589445

Natural Product IDNPC589445
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2~{R},3~{S},4~{S},5~{R},6~{R})-2-(hydroxymethyl)-6-[(1~{R},2~{S},4~{S},5'~{R},6~{R},7~{S},8~{R},9~{S},12~{S},13~{R},16~{S},18~{S},19~{S})-5',7,9,13-tetramethyl-19-[(2~{R},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-spiro[5-oxapentacyclo[10.8.0.0^{2,9}.0^{4,8}.0^{13,18}]icosane-6,2'-tetrahydropyran]-16-yl]oxy-tetrahydropyran-3,4,5-triol
IUPAC Name (2~{R},3~{S},4~{S},5~{R},6~{R})-2-(hydroxymethyl)-6-[(1~{R},2~{S},4~{S},5'~{R},6~{R},7~{S},8~{R},9~{S},12~{S},13~{R},16~{S},18~{S},19~{S})-5',7,9,13-tetramethyl-19-[(2~{R},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-spiro[5-oxapentacyclo[10.8.0.0^{2,9}.0^{4,8}.0^{13,18}]icosane-6,2'-tetrahydropyran]-16-yl]oxy-tetrahydropyran-3,4,5-triol
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 AAVRFXAMWONIOE-ZCFMUJEJSA-N
Standard InCHI InChI=1S/C39H64O14/c1-17-5-10-39(48-16-17)18(2)28-25(53-39)13-22-20-12-24(50-36-34(47)32(45)30(43)27(15-41)52-36)23-11-19(6-8-37(23,3)21(20)7-9-38(22,28)4)49-35-33(46)31(44)29(42)26(14-40)51-35/h17-36,40-47H,5-16H2,1-4H3/t17-,18+,19+,20-,21+,22+,23-,24+,25+,26-,27-,28+,29-,30-,31+,32+,33-,34-,35-,36-,37-,38+,39-/m1/s1
SMILES C[C@@H]1CC[C@@]2(OC1)O[C@H]1C[C@H]3[C@@H]4C[C@H](O[C@@H]5O[C@H](CO)[C@@H](O)[C@H](O)[C@H]5O)[C@H]5C[C@@H](O[C@@H]6O[C@H](CO)[C@@H](O)[C@H](O)[C@H]6O)CC[C@]5(C)[C@H]4CC[C@]3(C)[C@H]1[C@@H]2C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   756.43 Volume:   737.711
?
Van der Waals volume.
Dense:   1.025 LogP:   2.47
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.032
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.501
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   42.0
TPSA:   217.22
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Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   8.0 Rings:   8.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.173 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.337 Fsp3:   1.0
MCE-18:   203.846
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.717 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:   0.034
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.245 Promiscuous compounds:   0.015

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.031 MDCK Permeability:   -5.133
Pgp-inhibitor:   0.0 Pgp-substrate:   0.312
PAMPA:   0.983
?
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%):   0.013 30% Bioavailability (F30%):   0.865
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.088 MRP1:   0.004
Plasma Protein Binding (PPB):   58.05% Volume Distribution (VD):   -0.407
Fu: 34.867%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.651
BSEP inhibitor:   0.038

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.011
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.998
HLM stability:   0.001
?
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):  0.861 Half-life (T1/2):  3.035

ADMET: Toxicity

hERG Blockers:  0.025 hERG Blockers (10um):  0.051
Human Hepatotoxicity (H-HT):  0.647 Drug-induced Liver Injury (DILI):  0.987
AMES Toxicity:  0.957 Rat Oral Acute Toxicity:  0.011
Maximum Recommended Daily Dose:  0.014 Skin Sensitization:  1.0
Carcinogencity:  0.133 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.998
Hematotoxicity:  0.235 Drug-induced Nephrotoxicity:  0.838
Genotoxicity:  0.014 RPMI-8226 Immunitoxicity:  0.222
A549 Cytotoxicity:  0.866 Hek293 Cytotoxicity:  0.841
BCF:   1.849
?
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:   3.41
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.607
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.027
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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
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8976 Agave americana Species Asparagaceae 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 NPC589445 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
0.9444 High Similarity NPC485594
0.8 Intermediate Similarity NPC277715
0.7317 Intermediate Similarity NPC325828
0.7229 Intermediate Similarity NPC234352
0.7195 Intermediate Similarity NPC181845
0.7108 Intermediate Similarity NPC297348
0.7108 Intermediate Similarity NPC249204
0.7108 Intermediate Similarity NPC48339
0.7108 Intermediate Similarity NPC141769
0.7108 Intermediate Similarity NPC477547
0.6962 Remote Similarity NPC144790
0.6962 Remote Similarity NPC149400
0.6897 Remote Similarity NPC107188
0.6782 Remote Similarity NPC206003
0.6782 Remote Similarity NPC473610
0.6744 Remote Similarity NPC477451
0.6742 Remote Similarity NPC107962
0.6705 Remote Similarity NPC211354
0.6484 Remote Similarity NPC6295
0.6429 Remote Similarity NPC24960
0.6344 Remote Similarity NPC160426
0.6341 Remote Similarity NPC88962
0.6322 Remote Similarity NPC177834
0.6322 Remote Similarity NPC485602
0.6292 Remote Similarity NPC250393
0.6277 Remote Similarity NPC475351
0.625 Remote Similarity NPC294686
0.625 Remote Similarity NPC131693
0.625 Remote Similarity NPC475436
0.6154 Remote Similarity NPC19400
0.6129 Remote Similarity NPC485595
0.6082 Remote Similarity NPC477809
0.6061 Remote Similarity NPC97700
0.6061 Remote Similarity NPC184617
0.6061 Remote Similarity NPC30856
0.6 Remote Similarity NPC113044
0.6 Remote Similarity NPC283829
0.6 Remote Similarity NPC14704
0.6 Remote Similarity NPC161676
0.596 Remote Similarity NPC128572
0.5957 Remote Similarity NPC470432
0.5957 Remote Similarity NPC230507
0.5934 Remote Similarity NPC222731
0.5859 Remote Similarity NPC300557
0.58 Remote Similarity NPC480555
0.58 Remote Similarity NPC150372
0.5789 Remote Similarity NPC125324
0.5773 Remote Similarity NPC485605
0.5729 Remote Similarity NPC195297
0.5714 Remote Similarity NPC485591
0.5699 Remote Similarity NPC121453
0.566 Remote Similarity NPC132080
0.5657 Remote Similarity NPC475643
0.5657 Remote Similarity NPC485603
0.5657 Remote Similarity NPC602423
0.56 Remote Similarity NPC92890
0.5591 Remote Similarity NPC312678
0.5591 Remote Similarity NPC253268
0.5577 Remote Similarity NPC475625
0.5568 Remote Similarity NPC481420
0.5568 Remote Similarity NPC473774
0.5568 Remote Similarity NPC481419
0.5568 Remote Similarity NPC481417
0.5568 Remote Similarity NPC481421
0.5567 Remote Similarity NPC141433
0.5556 Remote Similarity NPC473601
0.5545 Remote Similarity NPC6806
0.5514 Remote Similarity NPC477811
0.55 Remote Similarity NPC470433
0.55 Remote Similarity NPC46190
0.55 Remote Similarity NPC171073
0.549 Remote Similarity NPC485604
0.5429 Remote Similarity NPC116756
0.5421 Remote Similarity NPC476112
0.5421 Remote Similarity NPC307534
0.5417 Remote Similarity NPC485590
0.5392 Remote Similarity NPC471464
0.5392 Remote Similarity NPC51172
0.5392 Remote Similarity NPC49032
0.5377 Remote Similarity NPC232037
0.537 Remote Similarity NPC480553
0.5333 Remote Similarity NPC485600
0.5333 Remote Similarity NPC475550
0.5327 Remote Similarity NPC470864
0.5316 Remote Similarity NPC296734
0.5312 Remote Similarity NPC54619
0.5283 Remote Similarity NPC473518
0.5258 Remote Similarity NPC264101
0.5238 Remote Similarity NPC115165
0.5238 Remote Similarity NPC475319
0.5204 Remote Similarity NPC215408
0.519 Remote Similarity NPC248944
0.519 Remote Similarity NPC7479
0.519 Remote Similarity NPC257296
0.5189 Remote Similarity NPC269297
0.5189 Remote Similarity NPC222202
0.5185 Remote Similarity NPC480554
0.5155 Remote Similarity NPC306131
0.5155 Remote Similarity NPC200802
0.514 Remote Similarity NPC475333
0.514 Remote Similarity NPC224098
0.514 Remote Similarity NPC309278
0.514 Remote Similarity NPC208383
0.5138 Remote Similarity NPC83137
0.5125 Remote Similarity NPC273290
0.5125 Remote Similarity NPC232044
0.5093 Remote Similarity NPC194207
0.5093 Remote Similarity NPC22779
0.5091 Remote Similarity NPC233433
0.5089 Remote Similarity NPC470866
0.5055 Remote Similarity NPC481418
0.5045 Remote Similarity NPC31896
0.5043 Remote Similarity NPC477808

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC589445 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
0.7317 Intermediate Similarity NPD8171 Phase 2
0.6304 Remote Similarity NPD8170 Phase 2
0.519 Remote Similarity NPD6928 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