Natural Product: NPC289897

Natural Product IDNPC289897
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WDAWHSXOXNKHHI-MQDLSUFXSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 6325156
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 WDAWHSXOXNKHHI-MQDLSUFXSA-N
Standard InCHI InChI=1S/C34H52O13/c1-17-29(47-30-28(40)27(39)24(37)15-44-30)23(36)12-26(45-17)46-19-3-8-32(16-35)21-4-7-31(2)20(18-11-25(38)43-14-18)6-10-34(31,42)22(21)5-9-33(32,41)13-19/h11,17,19-24,26-30,35-37,39-42H,3-10,12-16H2,1-2H3/t17-,19+,20?,21?,22?,23+,24-,26+,27+,28-,29-,30+,31-,32+,33+,34+/m1/s1
SMILES C[C@@H]1[C@H]([C@H](C[C@@H](O1)O[C@H]1CC[C@]2(CO)C3CC[C@]4(C)C(CC[C@@]4(C3CC[C@@]2(C1)O)O)C1=CC(=O)OC1)O)O[C@H]1[C@@H]([C@H]([C@@H](CO1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   668.34 Volume:   645.725
?
Van der Waals volume.
Dense:   1.035 LogP:   -0.055
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.619
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.951
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   38.0
TPSA:   204.83
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   7.0 Rings:   7.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.148 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.758 Fsp3:   0.912
MCE-18:   134.492
?
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:   0.534 Fluc inhibitor:   0.001
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.009
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.01
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.126 Promiscuous compounds:   0.318

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.62 MDCK Permeability:   -5.168
Pgp-inhibitor:   0.0 Pgp-substrate:   0.998
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):   0.009
20% Bioavailability (F20%):   0.879 30% Bioavailability (F30%):   0.427
50% Bioavailability (F50%):   0.989

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.023 MRP1:   0.95
Plasma Protein Binding (PPB):   60.056% Volume Distribution (VD):   -0.497
Fu: 36.216%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.596
OATP1B3 inhibitor:   0.086 BCRP inhibitor:   0.0
BSEP inhibitor:   0.033

ADMET: Metabolism

CYP1A2-inhibitor:   0.08 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:   0.983 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.024
HLM stability:   0.007
?
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):  0.95 Half-life (T1/2):  3.38

ADMET: Toxicity

hERG Blockers:  0.061 hERG Blockers (10um):  0.189
Human Hepatotoxicity (H-HT):  0.904 Drug-induced Liver Injury (DILI):  0.544
AMES Toxicity:  0.902 Rat Oral Acute Toxicity:  0.63
Maximum Recommended Daily Dose:  0.973 Skin Sensitization:  1.0
Carcinogencity:  0.775 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.23
Drug-induced Neurotoxicity:  0.02 Ototoxicity:  0.989
Hematotoxicity:  0.102 Drug-induced Nephrotoxicity:  0.993
Genotoxicity:  0.853 RPMI-8226 Immunitoxicity:  0.665
A549 Cytotoxicity:  0.977 Hek293 Cytotoxicity:  0.973
BCF:   0.473
?
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:   3.21
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.816
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.817
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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
NPO8100 Erysimum cheiranthoides Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8100 Erysimum cheiranthoides Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8100 Erysimum cheiranthoides Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8100 Erysimum cheiranthoides Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8100 Erysimum cheiranthoides Species Brassicaceae 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 NPC289897 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
0.8675 High Similarity NPC608063
0.7614 Intermediate Similarity NPC475556
0.7614 Intermediate Similarity NPC311706
0.7439 Intermediate Similarity NPC158344
0.7262 Intermediate Similarity NPC219085
0.7176 Intermediate Similarity NPC157376
0.7176 Intermediate Similarity NPC142066
0.7176 Intermediate Similarity NPC603972
0.66 Remote Similarity NPC329675
0.6526 Remote Similarity NPC125077
0.6316 Remote Similarity NPC32793
0.6316 Remote Similarity NPC116075
0.63 Remote Similarity NPC475590
0.6292 Remote Similarity NPC84987
0.625 Remote Similarity NPC474418
0.625 Remote Similarity NPC264336
0.618 Remote Similarity NPC99728
0.618 Remote Similarity NPC87250
0.618 Remote Similarity NPC244402
0.618 Remote Similarity NPC50305
0.6139 Remote Similarity NPC329636
0.6129 Remote Similarity NPC471354
0.6129 Remote Similarity NPC27507
0.6064 Remote Similarity NPC72260
0.6061 Remote Similarity NPC146857
0.6044 Remote Similarity NPC17896
0.6044 Remote Similarity NPC469755
0.6044 Remote Similarity NPC284406
0.6044 Remote Similarity NPC197707
0.6044 Remote Similarity NPC251866
0.6019 Remote Similarity NPC120390
0.5978 Remote Similarity NPC604978
0.5918 Remote Similarity NPC475629
0.5865 Remote Similarity NPC74259
0.5859 Remote Similarity NPC55532
0.581 Remote Similarity NPC194716
0.5714 Remote Similarity NPC32177
0.5714 Remote Similarity NPC469756
0.5714 Remote Similarity NPC275901
0.57 Remote Similarity NPC208193
0.5699 Remote Similarity NPC34390
0.5595 Remote Similarity NPC10232
0.5579 Remote Similarity NPC180079
0.5556 Remote Similarity NPC236973
0.5545 Remote Similarity NPC59288
0.5532 Remote Similarity NPC6108
0.5532 Remote Similarity NPC77299
0.5532 Remote Similarity NPC89514
0.5532 Remote Similarity NPC480906
0.55 Remote Similarity NPC188234
0.549 Remote Similarity NPC469749
0.5474 Remote Similarity NPC243196
0.5474 Remote Similarity NPC76572
0.5474 Remote Similarity NPC193382
0.5437 Remote Similarity NPC247190
0.5417 Remote Similarity NPC77319
0.5417 Remote Similarity NPC471351
0.5417 Remote Similarity NPC471355
0.5368 Remote Similarity NPC5311
0.5333 Remote Similarity NPC475219
0.5319 Remote Similarity NPC99620
0.5319 Remote Similarity NPC471633
0.5312 Remote Similarity NPC10823
0.5312 Remote Similarity NPC480914
0.5288 Remote Similarity NPC329986
0.5288 Remote Similarity NPC140092
0.5243 Remote Similarity NPC486135
0.5243 Remote Similarity NPC486137
0.5208 Remote Similarity NPC469750
0.5204 Remote Similarity NPC9499
0.5204 Remote Similarity NPC471360
0.5204 Remote Similarity NPC469751
0.5204 Remote Similarity NPC471361
0.5204 Remote Similarity NPC86159
0.5204 Remote Similarity NPC469752
0.5204 Remote Similarity NPC469754
0.5204 Remote Similarity NPC70542
0.52 Remote Similarity NPC173555
0.5149 Remote Similarity NPC30483
0.5149 Remote Similarity NPC470897
0.5138 Remote Similarity NPC475419
0.5104 Remote Similarity NPC309034
0.5102 Remote Similarity NPC146456
0.51 Remote Similarity NPC480907
0.5096 Remote Similarity NPC486143
0.5096 Remote Similarity NPC486142
0.5096 Remote Similarity NPC486149
0.5093 Remote Similarity NPC486136
0.5091 Remote Similarity NPC117445
0.5091 Remote Similarity NPC474908
0.5091 Remote Similarity NPC308262
0.5089 Remote Similarity NPC474423
0.5051 Remote Similarity NPC483822
0.5049 Remote Similarity NPC480910
0.5049 Remote Similarity NPC480909
0.5048 Remote Similarity NPC232785
0.5048 Remote Similarity NPC486139

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC289897 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
0.6064 Remote Similarity NPD8294 Phase 4
0.6044 Remote Similarity NPD7319 Approved
0.57 Remote Similarity NPD8377 Phase 4
0.5417 Remote Similarity NPD8335 Phase 4
0.5361 Remote Similarity NPD8380 Approved
0.52 Remote Similarity NPD8296 Phase 4

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