Natural Product: NPC105859

Natural Product IDNPC105859
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
BGBWTEGJEXNBFH-RJRTVKOJSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 102271938
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0001580] Triterpene glycosides
            • [CHEMONTID:0002358] Triterpene saponins

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 BGBWTEGJEXNBFH-RJRTVKOJSA-N
Standard InCHI InChI=1S/C61H98O27/c1-25-36(65)40(69)44(73)51(81-25)86-48-32(23-78-27(3)63)84-50(47(76)43(48)72)80-22-31-39(68)42(71)46(75)53(83-31)88-55(77)61-18-16-56(4,5)20-29(61)28-10-11-34-57(6)14-13-35(58(7,24-62)33(57)12-15-60(34,9)59(28,8)17-19-61)85-54-49(38(67)30(64)21-79-54)87-52-45(74)41(70)37(66)26(2)82-52/h20,25-26,28,30-54,62,64-76H,10-19,21-24H2,1-9H3/t25-,26-,28+,30-,31+,32+,33+,34+,35-,36-,37-,38-,39+,40+,41+,42-,43+,44+,45+,46+,47+,48+,49+,50+,51-,52-,53-,54-,57-,58-,59+,60+,61-/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)O[C@@H]1[C@@H](COC(=O)C)O[C@H]([C@@H]([C@H]1O)O)OC[C@@H]1[C@H]([C@@H]([C@H]([C@@H](O1)OC(=O)[C@@]12CCC(C)(C)C=C2[C@H]2CC[C@@H]3[C@@]4(C)CC[C@@H]([C@@](C)(CO)[C@@H]4CC[C@@]3(C)[C@]2(C)CC1)O[C@H]1[C@@H]([C@H]([C@H](CO1)O)O)O[C@H]1[C@@H]([C@@H]([C@H]([C@H](C)O1)O)O)O)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1262.63 Volume:   1207.474
?
Van der Waals volume.
Dense:   1.046 LogP:   0.809
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.569
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.804
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   16.0 Rigid Bonds:   58.0
TPSA:   418.89
?
Topological Polar Surface Area.
H-Bond Acceptor:   27.0
H-Bond Donor:   14.0 Rings:   10.0
Heavy Atoms:   27.0

MedChem Properties

QED Drug-Likeness Score:   0.051 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.392 Fsp3:   0.934
MCE-18:   218.254
?
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:   0.914 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.005
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.298 Promiscuous compounds:   0.311

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.601 MDCK Permeability:   -5.034
Pgp-inhibitor:   0.0 Pgp-substrate:   0.921
PAMPA:   1.0
?
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):   0.242
20% Bioavailability (F20%):   0.748 30% Bioavailability (F30%):   0.981
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.006
Plasma Protein Binding (PPB):   57.98% Volume Distribution (VD):   -0.347
Fu: 20.405%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.002
BSEP inhibitor:   0.0

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:   0.0
CYP3A4-inhibitor:   0.032 CYP3A4-substrate:   0.152
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.929
HLM stability:   0.008
?
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):  -0.7 Half-life (T1/2):  3.916

ADMET: Toxicity

hERG Blockers:  0.002 hERG Blockers (10um):  0.016
Human Hepatotoxicity (H-HT):  0.374 Drug-induced Liver Injury (DILI):  0.858
AMES Toxicity:  0.9 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.003 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.394 Drug-induced Nephrotoxicity:  0.998
Genotoxicity:  0.016 RPMI-8226 Immunitoxicity:  0.397
A549 Cytotoxicity:  0.566 Hek293 Cytotoxicity:  0.109
BCF:   0.829
?
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:   3.781
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.783
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.767
?
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
NPO22109 Streptomyces clavuligerus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[18450406]
NPO22109 Streptomyces clavuligerus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[19941870]
NPO22554 Eunicea laciniata Species Plexauridae Eukaryota n.a. Caribbean n.a. PMID[7769391]
NPO22554 Eunicea laciniata Species Plexauridae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22494 Thalictrum rugosum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21909 Alkanna tinctoria Species Boraginaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22109 Streptomyces clavuligerus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO22494 Thalictrum rugosum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO22494 Thalictrum rugosum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO21909 Alkanna tinctoria Species Boraginaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22494 Thalictrum rugosum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO5093 Centaurea hermannii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22750 Resseliella theobaldi Species Cecidomyiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22494 Thalictrum rugosum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22554 Eunicea laciniata Species Plexauridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20517 Seseli elatum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22367 Strychnos hirsuta Species Loganiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO231 Phanera vahlii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21909 Alkanna tinctoria Species Boraginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27908 Bathynella natans n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO22109 Streptomyces clavuligerus Species Streptomycetaceae Bacteria 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 NPC105859 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
0.6167 Remote Similarity NPC76972
0.6167 Remote Similarity NPC469782
0.6167 Remote Similarity NPC204414
0.6016 Remote Similarity NPC309907
0.568 Remote Similarity NPC165204
0.5649 Remote Similarity NPC202828
0.5649 Remote Similarity NPC119592
0.5645 Remote Similarity NPC60557
0.5645 Remote Similarity NPC67857
0.5606 Remote Similarity NPC298034
0.5606 Remote Similarity NPC71065
0.5512 Remote Similarity NPC135904
0.5391 Remote Similarity NPC155410
0.5323 Remote Similarity NPC241909
0.5271 Remote Similarity NPC475209
0.5231 Remote Similarity NPC100639
0.5224 Remote Similarity NPC65105
0.5197 Remote Similarity NPC114287
0.5188 Remote Similarity NPC110633
0.5185 Remote Similarity NPC236638
0.5185 Remote Similarity NPC294453
0.5185 Remote Similarity NPC305981
0.5182 Remote Similarity NPC220160
0.5147 Remote Similarity NPC261506
0.5147 Remote Similarity NPC4328
0.5116 Remote Similarity NPC192600
0.5111 Remote Similarity NPC293330
0.5037 Remote Similarity NPC41061
0.5037 Remote Similarity NPC227551

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC105859 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