Natural Product: NPC78558

Natural Product IDNPC78558
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OJBSJPFDQZUALV-OVCVUDTOSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 52931514
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 OJBSJPFDQZUALV-OVCVUDTOSA-N
Standard InCHI InChI=1S/C51H82O23/c1-20(19-66-46-40(62)39(61)36(58)30(17-52)71-46)7-10-32(55)70-29-16-28-26-9-8-24-15-25(11-13-50(24,5)27(26)12-14-51(28,6)33(29)21(2)54)69-49-45(74-48-42(64)38(60)35(57)23(4)68-48)43(65)44(31(18-53)72-49)73-47-41(63)37(59)34(56)22(3)67-47/h8,20,22-23,25-31,33-49,52-53,56-65H,7,9-19H2,1-6H3/t20?,22?,23?,25-,26+,27-,28-,29-,30?,31?,33-,34-,35-,36+,37?,38?,39-,40?,41+,42-,43-,44+,45?,46+,47-,48-,49+,50-,51-/m0/s1
SMILES CC(CCC(=O)O[C@H]1C[C@H]2[C@@H]3CC=C4C[C@H](CC[C@]4(C)[C@H]3CC[C@]2(C)[C@H]1C(=O)C)O[C@H]1C([C@H]([C@@H](C(CO)O1)O[C@H]1[C@@H](C([C@H](C(C)O1)O)O)O)O)O[C@H]1[C@H](C([C@H](C(C)O1)O)O)O)CO[C@H]1C([C@H]([C@@H](C(CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1062.52 Volume:   1016.466
?
Van der Waals volume.
Dense:   1.045 LogP:   1.053
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.966
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.169
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   17.0 Rigid Bonds:   46.0
TPSA:   359.97
?
Topological Polar Surface Area.
H-Bond Acceptor:   23.0
H-Bond Donor:   12.0 Rings:   8.0
Heavy Atoms:   23.0

MedChem Properties

QED Drug-Likeness Score:   0.058 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.701 Fsp3:   0.922
MCE-18:   162.857
?
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:   0.61 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
?
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:   0.163 Promiscuous compounds:   0.009

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.572 MDCK Permeability:   -5.086
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):   0.383
20% Bioavailability (F20%):   0.884 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.733
Plasma Protein Binding (PPB):   43.862% Volume Distribution (VD):   -0.465
Fu: 43.211%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.996
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.005
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.003 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.394 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.007
HLM stability:   0.359
?
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):  0.106 Half-life (T1/2):  2.451

ADMET: Toxicity

hERG Blockers:  0.031 hERG Blockers (10um):  0.062
Human Hepatotoxicity (H-HT):  0.554 Drug-induced Liver Injury (DILI):  0.962
AMES Toxicity:  0.954 Rat Oral Acute Toxicity:  0.007
Maximum Recommended Daily Dose:  0.013 Skin Sensitization:  1.0
Carcinogencity:  0.037 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  1.0
Hematotoxicity:  0.576 Drug-induced Nephrotoxicity:  0.688
Genotoxicity:  0.081 RPMI-8226 Immunitoxicity:  0.262
A549 Cytotoxicity:  0.741 Hek293 Cytotoxicity:  0.713
BCF:   0.432
?
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:   3.4
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.393
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.175
?
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
NPO10541 Dioscorea spongiosa Species Dioscoreaceae Eukaryota rhizomes n.a. n.a. PMID[12762799]
NPO10541 Dioscorea spongiosa Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10541 Dioscorea spongiosa Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10541 Dioscorea spongiosa Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10541 Dioscorea spongiosa Species Dioscoreaceae 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 NPC78558 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
1.0 High Similarity NPC475182
0.7921 Intermediate Similarity NPC73243
0.7921 Intermediate Similarity NPC244086
0.7921 Intermediate Similarity NPC84956
0.7767 Intermediate Similarity NPC247037
0.7619 Intermediate Similarity NPC194207
0.7619 Intermediate Similarity NPC22779
0.7547 Intermediate Similarity NPC249265
0.7477 Intermediate Similarity NPC23808
0.7477 Intermediate Similarity NPC87998
0.7339 Intermediate Similarity NPC308140
0.7308 Intermediate Similarity NPC480555
0.7308 Intermediate Similarity NPC150372
0.7273 Intermediate Similarity NPC232054
0.72 Intermediate Similarity NPC94272
0.7019 Intermediate Similarity NPC470433
0.7019 Intermediate Similarity NPC46190
0.7019 Intermediate Similarity NPC171073
0.6944 Remote Similarity NPC486386
0.6923 Remote Similarity NPC98696
0.6881 Remote Similarity NPC475333
0.6881 Remote Similarity NPC224098
0.6881 Remote Similarity NPC208383
0.6818 Remote Similarity NPC254255
0.6786 Remote Similarity NPC480553
0.6759 Remote Similarity NPC102016
0.6759 Remote Similarity NPC95051
0.6636 Remote Similarity NPC248746
0.6636 Remote Similarity NPC269297
0.6636 Remote Similarity NPC222202
0.6607 Remote Similarity NPC480554
0.6531 Remote Similarity NPC165439
0.6496 Remote Similarity NPC480556
0.646 Remote Similarity NPC218571
0.646 Remote Similarity NPC487615
0.6449 Remote Similarity NPC486388
0.6429 Remote Similarity NPC309278
0.6422 Remote Similarity NPC42171
0.6381 Remote Similarity NPC306991
0.633 Remote Similarity NPC122819
0.6283 Remote Similarity NPC13193
0.6262 Remote Similarity NPC113044
0.6262 Remote Similarity NPC283829
0.6262 Remote Similarity NPC161676
0.6167 Remote Similarity NPC224314
0.6154 Remote Similarity NPC287885
0.6126 Remote Similarity NPC300557
0.6126 Remote Similarity NPC124677
0.6116 Remote Similarity NPC477808
0.6091 Remote Similarity NPC265275
0.6083 Remote Similarity NPC248202
0.5982 Remote Similarity NPC6806
0.5963 Remote Similarity NPC305423
0.5946 Remote Similarity NPC602423
0.5893 Remote Similarity NPC477809
0.5818 Remote Similarity NPC470748
0.578 Remote Similarity NPC470432
0.578 Remote Similarity NPC230507
0.5726 Remote Similarity NPC32361
0.5636 Remote Similarity NPC6295
0.5524 Remote Similarity NPC181845
0.5517 Remote Similarity NPC150057
0.5517 Remote Similarity NPC147753
0.5439 Remote Similarity NPC40440
0.5405 Remote Similarity NPC295980
0.5398 Remote Similarity NPC14704
0.5398 Remote Similarity NPC600116
0.5364 Remote Similarity NPC19400
0.5299 Remote Similarity NPC48886
0.5299 Remote Similarity NPC94881
0.5285 Remote Similarity NPC477811
0.525 Remote Similarity NPC475550
0.5221 Remote Similarity NPC15249
0.5221 Remote Similarity NPC485595
0.5221 Remote Similarity NPC25455
0.5189 Remote Similarity NPC486114
0.5185 Remote Similarity NPC272015
0.5133 Remote Similarity NPC485601
0.5094 Remote Similarity NPC242748
0.5089 Remote Similarity NPC476538
0.5089 Remote Similarity NPC476539
0.5081 Remote Similarity NPC486383
0.5043 Remote Similarity NPC141433
0.5043 Remote Similarity NPC195297

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC78558 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
0.633 Remote Similarity NPD8449 Approved
0.5517 Remote Similarity NPD8450 Suspended

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