Natural Product: NPC98656

Natural Product IDNPC98656
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
UVYVLBIGDKGWPX-PWCHPZKCSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 52931434
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides
          • [CHEMONTID:0002364] Steroidal 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 UVYVLBIGDKGWPX-PWCHPZKCSA-N
Standard InCHI InChI=1S/C56H92O29/c1-19-7-10-56(75-17-19)20(2)31-45(85-56)37(67)32-22-6-5-21-11-26(24(61)12-55(21,4)23(22)8-9-54(31,32)3)76-50-42(72)39(69)44(30(16-60)80-50)81-53-48(47(36(66)29(15-59)79-53)83-49-40(70)33(63)25(62)18-74-49)84-52-43(73)46(35(65)28(14-58)78-52)82-51-41(71)38(68)34(64)27(13-57)77-51/h19-53,57-73H,5-18H2,1-4H3/t19-,20+,21+,22-,23+,24-,25-,26-,27?,28?,29?,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-,55+,56-/m1/s1
SMILES C[C@@H]1CC[C@@]2([C@@H](C)[C@H]3[C@H]([C@H]([C@H]4[C@@H]5CC[C@H]6C[C@H]([C@@H](C[C@]6(C)[C@H]5CC[C@]34C)O)O[C@H]3C([C@H]([C@H](C(CO)O3)O[C@H]3C([C@H]([C@@H](C(CO)O3)O)O[C@H]3C([C@H]([C@@H](CO3)O)O)O)O[C@H]3C([C@H]([C@H](C(CO)O3)O)O[C@H]3C([C@H]([C@@H](C(CO)O3)O)O)O)O)O)O)O)O2)OC1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1228.57 Volume:   1137.927
?
Van der Waals volume.
Dense:   1.08 LogP:   -1.126
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.16
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.864
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   60.0
TPSA:   454.67
?
Topological Polar Surface Area.
H-Bond Acceptor:   29.0
H-Bond Donor:   17.0 Rings:   11.0
Heavy Atoms:   29.0

MedChem Properties

QED Drug-Likeness Score:   0.072 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.832 Fsp3:   1.0
MCE-18:   297.0
?
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:   0.405 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.399 Promiscuous compounds:   0.005

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -7.03 MDCK Permeability:   -5.004
Pgp-inhibitor:   0.0 Pgp-substrate:   1.0
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):   1.0
20% Bioavailability (F20%):   1.0 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.752
Plasma Protein Binding (PPB):   25.923% Volume Distribution (VD):   -0.458
Fu: 48.197%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
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:   1.0 CYP3A4-substrate:   0.43
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.033
HLM stability:   0.014
?
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):  -0.694 Half-life (T1/2):  3.497

ADMET: Toxicity

hERG Blockers:  0.007 hERG Blockers (10um):  0.009
Human Hepatotoxicity (H-HT):  0.643 Drug-induced Liver Injury (DILI):  0.908
AMES Toxicity:  0.821 Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.003 Skin Sensitization:  1.0
Carcinogencity:  0.021 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.086 Drug-induced Nephrotoxicity:  0.558
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.336
A549 Cytotoxicity:  0.557 Hek293 Cytotoxicity:  0.951
BCF:   0.56
?
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:   3.058
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.762
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.416
?
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
NPO4443 Digitalis purpurea Species Plantaginaceae Eukaryota n.a. n.a. n.a. DOI[10.1007/s00253-012-4489-y]
NPO4443 Digitalis purpurea Species Plantaginaceae Eukaryota n.a. n.a. n.a. DOI[10.1093/oxfordjournals.pcp.a076462]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota n.a. fruit n.a. PMID[16417304]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota n.a. branch n.a. PMID[17202693]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota n.a. n.a. n.a. PMID[37570937]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota n.a. n.a. n.a. PMID[38358042]
NPO4443 Digitalis purpurea Species Plantaginaceae Eukaryota n.a. n.a. n.a. PMID[9834166]
NPO4443 Digitalis purpurea Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota Bark n.a. n.a. Database[FooDB]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota Root n.a. n.a. Database[FooDB]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota n.a. n.a. Database[FooDB]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4443 Digitalis purpurea Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4443 Digitalis purpurea Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4443 Digitalis purpurea Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO4443 Digitalis purpurea Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO4443 Digitalis purpurea Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15095 Hippophae rhamnoides Species Elaeagnaceae 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 NPC98656 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
0.7963 Intermediate Similarity NPC115165
0.7931 Intermediate Similarity NPC79900
0.7456 Intermediate Similarity NPC470862
0.7391 Intermediate Similarity NPC132080
0.7281 Intermediate Similarity NPC232611
0.7248 Intermediate Similarity NPC473601
0.713 Intermediate Similarity NPC232037
0.7043 Intermediate Similarity NPC473518
0.7009 Intermediate Similarity NPC83137
0.7008 Intermediate Similarity NPC330026
0.6911 Remote Similarity NPC210569
0.6783 Remote Similarity NPC97700
0.6783 Remote Similarity NPC184617
0.6783 Remote Similarity NPC30856
0.6777 Remote Similarity NPC470866
0.6777 Remote Similarity NPC470867
0.6694 Remote Similarity NPC220836
0.6667 Remote Similarity NPC481190
0.661 Remote Similarity NPC470861
0.6583 Remote Similarity NPC476112
0.6583 Remote Similarity NPC307534
0.6452 Remote Similarity NPC94086
0.6452 Remote Similarity NPC473817
0.6441 Remote Similarity NPC51520
0.6441 Remote Similarity NPC303069
0.641 Remote Similarity NPC151134
0.6364 Remote Similarity NPC92710
0.6364 Remote Similarity NPC470864
0.6357 Remote Similarity NPC263359
0.6341 Remote Similarity NPC31896
0.6333 Remote Similarity NPC475625
0.6261 Remote Similarity NPC475351
0.6198 Remote Similarity NPC116756
0.6131 Remote Similarity NPC329820
0.6129 Remote Similarity NPC233433
0.6107 Remote Similarity NPC244431
0.6077 Remote Similarity NPC32707
0.6 Remote Similarity NPC84111
0.6 Remote Similarity NPC287483
0.6 Remote Similarity NPC470865
0.5865 Remote Similarity NPC305771
0.5865 Remote Similarity NPC94072
0.5865 Remote Similarity NPC169816
0.5846 Remote Similarity NPC473505
0.5745 Remote Similarity NPC481189
0.5704 Remote Similarity NPC329727
0.5652 Remote Similarity NPC206003
0.5652 Remote Similarity NPC473610
0.5649 Remote Similarity NPC248202
0.5645 Remote Similarity NPC475319
0.5639 Remote Similarity NPC15918
0.5625 Remote Similarity NPC256983
0.56 Remote Similarity NPC470863
0.5565 Remote Similarity NPC250393
0.5546 Remote Similarity NPC195297
0.5538 Remote Similarity NPC167183
0.5532 Remote Similarity NPC329807
0.5528 Remote Similarity NPC51172
0.5528 Remote Similarity NPC49032
0.5526 Remote Similarity NPC294686
0.5481 Remote Similarity NPC208832
0.5455 Remote Similarity NPC190939
0.5448 Remote Similarity NPC273002
0.544 Remote Similarity NPC98018
0.544 Remote Similarity NPC308459
0.544 Remote Similarity NPC284104
0.544 Remote Similarity NPC103616
0.5391 Remote Similarity NPC234352
0.5304 Remote Similarity NPC325828
0.5299 Remote Similarity NPC222731
0.5263 Remote Similarity NPC262050
0.525 Remote Similarity NPC107962
0.5152 Remote Similarity NPC477811
0.5126 Remote Similarity NPC121453
0.5074 Remote Similarity NPC480556

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC98656 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
0.5304 Remote Similarity NPD8171 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