Natural Product: NPC545481

Natural Product IDNPC545481
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Pseudoprotogracillin
IUPAC Name (2~{S},3~{R},4~{R},5~{R},6~{S})-2-[(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-2-[[(1~{S},2~{S},4~{S},8~{S},9~{S},12~{S},13~{R},16~{S})-7,9,13-trimethyl-6-[(3~{R})-3-methyl-4-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-butyl]-5-oxapentacyclo[10.8.0.0^{2,9}.0^{4,8}.0^{13,18}]icosa-6,18-dien-16-yl]oxy]tetrahydropyran-3-yl]oxy-6-methyl-tetrahydropyran-3,4,5-triol
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 JNZLXJWNXMGDGS-CRPAHPMISA-N
Standard InCHI InChI=1S/C51H82O22/c1-20(19-65-46-41(62)39(60)35(56)30(16-52)69-46)6-9-28-21(2)33-29(68-28)15-27-25-8-7-23-14-24(10-12-50(23,4)26(25)11-13-51(27,33)5)67-49-45(73-47-42(63)38(59)34(55)22(3)66-47)44(37(58)32(18-54)71-49)72-48-43(64)40(61)36(57)31(17-53)70-48/h7,20,22,24-27,29-49,52-64H,6,8-19H2,1-5H3/t20-,22+,24+,25-,26+,27+,29+,30-,31-,32-,33+,34+,35-,36-,37-,38-,39+,40+,41-,42-,43-,44+,45-,46-,47+,48+,49-,50+,51+/m1/s1
SMILES CC1=C(CC[C@@H](C)CO[C@@H]2O[C@H](CO)[C@@H](O)[C@H](O)[C@H]2O)O[C@H]2C[C@H]3[C@@H]4CC=C5C[C@@H](O[C@@H]6O[C@H](CO)[C@@H](O)[C@H](O[C@@H]7O[C@H](CO)[C@@H](O)[C@H](O)[C@H]7O)[C@H]6O[C@@H]6O[C@@H](C)[C@H](O)[C@@H](O)[C@H]6O)CC[C@]5(C)[C@H]4CC[C@]3(C)[C@@H]12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1046.53 Volume:   1001.756
?
Van der Waals volume.
Dense:   1.045 LogP:   1.018
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.014
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.245
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The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   48.0
TPSA:   346.06
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Topological Polar Surface Area.
H-Bond Acceptor:   22.0
H-Bond Donor:   13.0 Rings:   9.0
Heavy Atoms:   22.0

MedChem Properties

QED Drug-Likeness Score:   0.078 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.726 Fsp3:   0.922
MCE-18:   171.0
?
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:   0.706 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:   0.002
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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:   0.26 Promiscuous compounds:   0.108

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.882 MDCK Permeability:   -5.017
Pgp-inhibitor:   0.0 Pgp-substrate:   0.827
PAMPA:   0.999
?
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):   0.013
20% Bioavailability (F20%):   0.004 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.001
Plasma Protein Binding (PPB):   57.458% Volume Distribution (VD):   -0.338
Fu: 29.029%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.057
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:   0.997 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.988
HLM stability:   0.367
?
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):  -0.254 Half-life (T1/2):  3.472

ADMET: Toxicity

hERG Blockers:  0.004 hERG Blockers (10um):  0.008
Human Hepatotoxicity (H-HT):  0.551 Drug-induced Liver Injury (DILI):  0.938
AMES Toxicity:  0.957 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.016 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.418 Drug-induced Nephrotoxicity:  0.907
Genotoxicity:  0.003 RPMI-8226 Immunitoxicity:  0.172
A549 Cytotoxicity:  0.853 Hek293 Cytotoxicity:  0.4
BCF:   1.637
?
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:   3.537
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.868
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.136
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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
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4863 Dioscorea futschauensis 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]
NPO4863 Dioscorea futschauensis 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 NPC545481 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
0.785 Intermediate Similarity NPC308140
0.7596 Intermediate Similarity NPC102016
0.7596 Intermediate Similarity NPC95051
0.7383 Intermediate Similarity NPC309278
0.7248 Intermediate Similarity NPC218571
0.7248 Intermediate Similarity NPC487615
0.7075 Intermediate Similarity NPC300557
0.7009 Intermediate Similarity NPC208832
0.6887 Remote Similarity NPC602423
0.6545 Remote Similarity NPC150057
0.6545 Remote Similarity NPC475182
0.6545 Remote Similarity NPC147753
0.6346 Remote Similarity NPC128123
0.6339 Remote Similarity NPC73243
0.6339 Remote Similarity NPC244086
0.6339 Remote Similarity NPC84956
0.633 Remote Similarity NPC98696
0.6228 Remote Similarity NPC247037
0.6207 Remote Similarity NPC92710
0.6121 Remote Similarity NPC194207
0.6121 Remote Similarity NPC22779
0.6095 Remote Similarity NPC486118
0.6068 Remote Similarity NPC249265
0.6018 Remote Similarity NPC48886
0.6018 Remote Similarity NPC94881
0.6017 Remote Similarity NPC23808
0.6017 Remote Similarity NPC87998
0.6 Remote Similarity NPC475357
0.5868 Remote Similarity NPC232054
0.5833 Remote Similarity NPC477811
0.5826 Remote Similarity NPC480555
0.5826 Remote Similarity NPC150372
0.5818 Remote Similarity NPC94272
0.5812 Remote Similarity NPC486386
0.576 Remote Similarity NPC477808
0.5752 Remote Similarity NPC486388
0.5714 Remote Similarity NPC113044
0.5714 Remote Similarity NPC283829
0.5714 Remote Similarity NPC161676
0.5714 Remote Similarity NPC254255
0.5676 Remote Similarity NPC306991
0.5603 Remote Similarity NPC6806
0.5574 Remote Similarity NPC480553
0.5565 Remote Similarity NPC470433
0.5565 Remote Similarity NPC46190
0.5565 Remote Similarity NPC171073
0.55 Remote Similarity NPC475333
0.55 Remote Similarity NPC224098
0.55 Remote Similarity NPC208383
0.5476 Remote Similarity NPC248202
0.5462 Remote Similarity NPC148965
0.5439 Remote Similarity NPC305423
0.5439 Remote Similarity NPC14704
0.5421 Remote Similarity NPC181845
0.541 Remote Similarity NPC480554
0.5403 Remote Similarity NPC31896
0.5398 Remote Similarity NPC470432
0.5398 Remote Similarity NPC230507
0.5354 Remote Similarity NPC480556
0.5289 Remote Similarity NPC269297
0.5289 Remote Similarity NPC222202
0.5254 Remote Similarity NPC248746
0.5227 Remote Similarity NPC263359
0.5214 Remote Similarity NPC485596
0.5203 Remote Similarity NPC197003
0.5179 Remote Similarity NPC206003
0.5179 Remote Similarity NPC473610
0.5128 Remote Similarity NPC475351
0.5126 Remote Similarity NPC122819
0.5126 Remote Similarity NPC477809
0.5122 Remote Similarity NPC13193
0.5115 Remote Similarity NPC210569
0.5085 Remote Similarity NPC40440
0.5083 Remote Similarity NPC42171
0.5079 Remote Similarity NPC256983
0.5046 Remote Similarity NPC165439
0.5043 Remote Similarity NPC470748
0.5043 Remote Similarity NPC295980

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC545481 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
0.6545 Remote Similarity NPD8450 Suspended
0.5126 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