Natural Product: NPC305444

Natural Product IDNPC305444
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
RDGWQQQKUDXGRS-WGSSIDGDSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101188264
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 RDGWQQQKUDXGRS-WGSSIDGDSA-N
Standard InCHI InChI=1S/C36H56O10/c1-31-13-14-32(2,30(43)44)17-20(31)19-7-8-22-33(3)11-10-23(45-29-26(40)24(38)25(39)27(46-29)28(41)42)34(4,18-37)21(33)9-12-36(22,6)35(19,5)16-15-31/h7,20-27,29,37-40H,8-18H2,1-6H3,(H,41,42)(H,43,44)/t20-,21+,22+,23-,24-,25-,26+,27-,29+,31+,32+,33-,34+,35+,36+/m0/s1
SMILES C[C@@]12CC[C@](C)(C[C@H]2C2=CC[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]([C@@H](C(=O)O)O1)O)O)O)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   648.39 Volume:   659.866
?
Van der Waals volume.
Dense:   0.983 LogP:   3.186
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.775
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.332
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   34.0
TPSA:   173.98
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   6.0 Rings:   6.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.188 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.42 Fsp3:   0.889
MCE-18:   131.294
?
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:   0.867 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.021
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.21 Promiscuous compounds:   0.109

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.105 MDCK Permeability:   -5.207
Pgp-inhibitor:   0.0 Pgp-substrate:   0.803
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):   0.0
20% Bioavailability (F20%):   0.553 30% Bioavailability (F30%):   0.011
50% Bioavailability (F50%):   0.844

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.006 MRP1:   1.0
Plasma Protein Binding (PPB):   80.113% Volume Distribution (VD):   -0.595
Fu: 14.243%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.029
OATP1B3 inhibitor:   0.0 BCRP inhibitor:   0.001
BSEP inhibitor:   0.01

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.0
?
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):  0.581 Half-life (T1/2):  2.176

ADMET: Toxicity

hERG Blockers:  0.003 hERG Blockers (10um):  0.002
Human Hepatotoxicity (H-HT):  0.628 Drug-induced Liver Injury (DILI):  0.882
AMES Toxicity:  0.197 Rat Oral Acute Toxicity:  0.066
Maximum Recommended Daily Dose:  0.049 Skin Sensitization:  0.998
Carcinogencity:  0.492 Eye Corrosion:  0.002
Eye Irritation:  0.264 Respiratory Toxicity:  0.26
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.905
Hematotoxicity:  0.623 Drug-induced Nephrotoxicity:  0.994
Genotoxicity:  0.914 RPMI-8226 Immunitoxicity:  0.032
A549 Cytotoxicity:  0.045 Hek293 Cytotoxicity:  0.042
BCF:   0.554
?
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:   3.465
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.979
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.185
?
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
NPO26583 Oxytropis myriophylla Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26583 Oxytropis myriophylla Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26583 Oxytropis myriophylla Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26583 Oxytropis myriophylla Species Fabaceae 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 NPC305444 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
0.881 High Similarity NPC482748
0.7841 Intermediate Similarity NPC309780
0.7412 Intermediate Similarity NPC224121
0.7283 Intermediate Similarity NPC482751
0.6947 Remote Similarity NPC482741
0.6947 Remote Similarity NPC482745
0.6947 Remote Similarity NPC482743
0.6947 Remote Similarity NPC146753
0.6889 Remote Similarity NPC482752
0.6629 Remote Similarity NPC286347
0.6562 Remote Similarity NPC473884
0.6413 Remote Similarity NPC294112
0.6375 Remote Similarity NPC171203
0.6375 Remote Similarity NPC307426
0.6375 Remote Similarity NPC98442
0.6375 Remote Similarity NPC242468
0.6341 Remote Similarity NPC263393
0.6327 Remote Similarity NPC482746
0.63 Remote Similarity NPC11551
0.6237 Remote Similarity NPC480937
0.6162 Remote Similarity NPC482747
0.6162 Remote Similarity NPC202666
0.6162 Remote Similarity NPC471961
0.6162 Remote Similarity NPC475171
0.6162 Remote Similarity NPC242015
0.5938 Remote Similarity NPC480938
0.59 Remote Similarity NPC157868
0.5865 Remote Similarity NPC611191
0.5784 Remote Similarity NPC242840
0.5761 Remote Similarity NPC204407
0.5699 Remote Similarity NPC57362
0.5699 Remote Similarity NPC28198
0.5699 Remote Similarity NPC476123
0.5657 Remote Similarity NPC482726
0.5647 Remote Similarity NPC155120
0.5647 Remote Similarity NPC288833
0.5638 Remote Similarity NPC177246
0.5619 Remote Similarity NPC118440
0.56 Remote Similarity NPC476882
0.5581 Remote Similarity NPC474525
0.5566 Remote Similarity NPC31193
0.5517 Remote Similarity NPC46441
0.5514 Remote Similarity NPC482755
0.5514 Remote Similarity NPC95437
0.551 Remote Similarity NPC480943
0.5481 Remote Similarity NPC75417
0.5464 Remote Similarity NPC471967
0.5463 Remote Similarity NPC114692
0.5463 Remote Similarity NPC236657
0.5429 Remote Similarity NPC471965
0.5429 Remote Similarity NPC482749
0.5421 Remote Similarity NPC131469
0.5413 Remote Similarity NPC218954
0.5412 Remote Similarity NPC263272
0.5408 Remote Similarity NPC476887
0.5402 Remote Similarity NPC474964
0.5341 Remote Similarity NPC78580
0.5341 Remote Similarity NPC474529
0.5294 Remote Similarity NPC603870
0.5288 Remote Similarity NPC472949
0.5287 Remote Similarity NPC104545
0.5248 Remote Similarity NPC270667
0.5234 Remote Similarity NPC14617
0.5229 Remote Similarity NPC262199
0.5225 Remote Similarity NPC187618
0.5225 Remote Similarity NPC120116
0.5208 Remote Similarity NPC606107
0.5192 Remote Similarity NPC114441
0.5169 Remote Similarity NPC476064
0.5158 Remote Similarity NPC476878
0.5146 Remote Similarity NPC136877
0.5143 Remote Similarity NPC6377
0.5143 Remote Similarity NPC208381
0.5116 Remote Similarity NPC260385
0.5116 Remote Similarity NPC110094
0.51 Remote Similarity NPC284807
0.5057 Remote Similarity NPC7260
0.5057 Remote Similarity NPC210037
0.5057 Remote Similarity NPC120968
0.5057 Remote Similarity NPC227467
0.5057 Remote Similarity NPC273621
0.5052 Remote Similarity NPC283849
0.5043 Remote Similarity NPC313110

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC305444 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
0.6162 Remote Similarity NPD8328 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