Natural Product: NPC589992

Natural Product IDNPC589992
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Dioscoreside I
IUPAC Name 1-[(3~{S},8~{R},9~{S},10~{R},13~{S},14~{S})-3-[(2~{R},3~{R},4~{S},5~{R},6~{R})-5-hydroxy-6-(hydroxymethyl)-4-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-3-[(2~{S},3~{R},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-tetrahydropyran-2-yl]oxy-10,13-dimethyl-2,3,4,7,8,9,11,12,14,15-decahydro-1~{H}-cyclopenta[a]phenanthren-17-yl]ethanone
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 VZYCYPQHUZOSIT-BXJPREBZSA-N
Standard InCHI InChI=1S/C39H60O16/c1-16(42)21-7-8-22-20-6-5-18-13-19(9-11-38(18,3)23(20)10-12-39(21,22)4)51-37-34(55-35-31(48)29(46)26(43)17(2)50-35)33(28(45)25(15-41)53-37)54-36-32(49)30(47)27(44)24(14-40)52-36/h5,7,17,19-20,22-37,40-41,43-49H,6,8-15H2,1-4H3/t17-,19-,20-,22-,23-,24+,25+,26-,27+,28+,29+,30-,31+,32+,33-,34+,35-,36-,37+,38-,39+/m0/s1
SMILES CC(=O)C1=CC[C@H]2[C@@H]3CC=C4C[C@@H](O[C@@H]5O[C@H](CO)[C@@H](O)[C@H](O[C@@H]6O[C@H](CO)[C@@H](O)[C@H](O)[C@H]6O)[C@H]5O[C@@H]5O[C@@H](C)[C@H](O)[C@@H](O)[C@H]5O)CC[C@]4(C)[C@H]3CC[C@]12C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   784.39 Volume:   755.939
?
Van der Waals volume.
Dense:   1.038 LogP:   1.199
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.041
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.963
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   39.0
TPSA:   254.52
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Topological Polar Surface Area.
H-Bond Acceptor:   16.0
H-Bond Donor:   9.0 Rings:   7.0
Heavy Atoms:   16.0

MedChem Properties

QED Drug-Likeness Score:   0.126 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.837 Fsp3:   0.872
MCE-18:   135.589
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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:   0.748 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:   0.005
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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:   0.277 Promiscuous compounds:   0.18

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.513 MDCK Permeability:   -5.09
Pgp-inhibitor:   0.0 Pgp-substrate:   0.619
PAMPA:   0.989
?
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):   0.001
20% Bioavailability (F20%):   0.004 30% Bioavailability (F30%):   0.826
50% Bioavailability (F50%):   0.992

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.006 MRP1:   0.018
Plasma Protein Binding (PPB):   62.004% Volume Distribution (VD):   -0.424
Fu: 31.992%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.054
BSEP inhibitor:   0.011

ADMET: Metabolism

CYP1A2-inhibitor:   0.019 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.015 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.83 CYP3A4-substrate:   0.953
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.495
HLM stability:   0.417
?
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):  0.472 Half-life (T1/2):  2.942

ADMET: Toxicity

hERG Blockers:  0.011 hERG Blockers (10um):  0.029
Human Hepatotoxicity (H-HT):  0.489 Drug-induced Liver Injury (DILI):  0.893
AMES Toxicity:  0.922 Rat Oral Acute Toxicity:  0.003
Maximum Recommended Daily Dose:  0.005 Skin Sensitization:  1.0
Carcinogencity:  0.078 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.48 Drug-induced Nephrotoxicity:  0.677
Genotoxicity:  0.111 RPMI-8226 Immunitoxicity:  0.159
A549 Cytotoxicity:  0.641 Hek293 Cytotoxicity:  0.532
BCF:   0.863
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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:   3.31
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.681
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.847
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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
NPO10541 Dioscorea spongiosa Species Dioscoreaceae Eukaryota rhizomes n.a. n.a. PMID[12762799]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10541 Dioscorea spongiosa Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9089 Dioscorea panthaica 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]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9089 Dioscorea panthaica Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9089 Dioscorea panthaica Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10541 Dioscorea spongiosa Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO9089 Dioscorea panthaica Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO9089 Dioscorea panthaica Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
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 NPC589992 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
0.7683 Intermediate Similarity NPC165439
0.6701 Remote Similarity NPC48886
0.6701 Remote Similarity NPC300557
0.6701 Remote Similarity NPC94881
0.6633 Remote Similarity NPC150057
0.6633 Remote Similarity NPC147753
0.6566 Remote Similarity NPC102016
0.6566 Remote Similarity NPC95051
0.6535 Remote Similarity NPC309278
0.6495 Remote Similarity NPC602423
0.625 Remote Similarity NPC218571
0.625 Remote Similarity NPC487615
0.6238 Remote Similarity NPC308459
0.5816 Remote Similarity NPC306991
0.5816 Remote Similarity NPC94272
0.5673 Remote Similarity NPC475182
0.5517 Remote Similarity NPC22140
0.5517 Remote Similarity NPC243728
0.5517 Remote Similarity NPC158088
0.5484 Remote Similarity NPC486114
0.5455 Remote Similarity NPC600456
0.5437 Remote Similarity NPC40440
0.5437 Remote Similarity NPC486388
0.5405 Remote Similarity NPC477811
0.5393 Remote Similarity NPC282669
0.5392 Remote Similarity NPC470748
0.5377 Remote Similarity NPC480555
0.5377 Remote Similarity NPC150372
0.537 Remote Similarity NPC486386
0.5345 Remote Similarity NPC477808
0.5327 Remote Similarity NPC73243
0.5327 Remote Similarity NPC244086
0.5327 Remote Similarity NPC84956
0.5312 Remote Similarity NPC272015
0.5288 Remote Similarity NPC98696
0.5283 Remote Similarity NPC124677
0.5273 Remote Similarity NPC194207
0.5273 Remote Similarity NPC197003
0.5273 Remote Similarity NPC22779
0.5273 Remote Similarity NPC254255
0.5243 Remote Similarity NPC305423
0.5243 Remote Similarity NPC113044
0.5243 Remote Similarity NPC283829
0.5243 Remote Similarity NPC161676
0.5243 Remote Similarity NPC600116
0.5229 Remote Similarity NPC247037
0.5182 Remote Similarity NPC13193
0.5158 Remote Similarity NPC296686
0.5143 Remote Similarity NPC42482
0.5133 Remote Similarity NPC480553
0.5128 Remote Similarity NPC609635
0.5114 Remote Similarity NPC473890
0.5098 Remote Similarity NPC295980
0.5094 Remote Similarity NPC470433
0.5094 Remote Similarity NPC46190
0.5094 Remote Similarity NPC265275
0.5094 Remote Similarity NPC171073
0.5089 Remote Similarity NPC249265
0.5047 Remote Similarity NPC248746
0.5047 Remote Similarity NPC122819
0.5044 Remote Similarity NPC23808
0.5044 Remote Similarity NPC87998
0.5043 Remote Similarity NPC232054

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC589992 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
0.6633 Remote Similarity NPD8450 Suspended
0.5047 Remote Similarity NPD8449 Approved

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