Natural Product: NPC322951

Natural Product IDNPC322951
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XQCGNURMLWFQJR-SHKYIWNLSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5316273
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 XQCGNURMLWFQJR-SHKYIWNLSA-N
Standard InCHI InChI=1S/C30H44O9/c1-17-26(33)23(36-3)13-25(38-17)39-19-4-9-28(16-31)21-5-8-27(2)20(18-12-24(32)37-15-18)7-11-30(27,35)22(21)6-10-29(28,34)14-19/h12,16-17,19-23,25-26,33-35H,4-11,13-15H2,1-3H3/t17-,19+,20-,21?,22-,23+,25+,26-,27-,28+,29+,30+/m1/s1
SMILES CC1C(C(CC(O1)OC2CCC3(C4CCC5(C(CCC5(C4CCC3(C2)O)O)C6=CC(=O)OC6)C)C=O)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   548.3 Volume:   547.3
?
Van der Waals volume.
Dense:   1.002 LogP:   0.795
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.422
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.527
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   33.0
TPSA:   131.75
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.269 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.331 Fsp3:   0.867
MCE-18:   112.857
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.018 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.168
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.108 Promiscuous compounds:   0.004

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.685 MDCK Permeability:   -5.155
Pgp-inhibitor:   0.0 Pgp-substrate:   0.961
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):   0.957
20% Bioavailability (F20%):   0.483 30% Bioavailability (F30%):   0.741
50% Bioavailability (F50%):   0.951

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.021 MRP1:   0.972
Plasma Protein Binding (PPB):   72.214% Volume Distribution (VD):   0.146
Fu: 28.905%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.004
OATP1B3 inhibitor:   0.77 BCRP inhibitor:   0.001
BSEP inhibitor:   0.188

ADMET: Metabolism

CYP1A2-inhibitor:   0.014 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.368 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.068 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.879 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.625 CYP2C8-inhibitor:   0.0
HLM stability:   0.0
?
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):  5.836 Half-life (T1/2):  4.334

ADMET: Toxicity

hERG Blockers:  0.388 hERG Blockers (10um):  0.489
Human Hepatotoxicity (H-HT):  0.848 Drug-induced Liver Injury (DILI):  0.149
AMES Toxicity:  0.933 Rat Oral Acute Toxicity:  0.969
Maximum Recommended Daily Dose:  0.996 Skin Sensitization:  0.849
Carcinogencity:  0.751 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.834
Drug-induced Neurotoxicity:  0.176 Ototoxicity:  0.931
Hematotoxicity:  0.221 Drug-induced Nephrotoxicity:  0.323
Genotoxicity:  0.998 RPMI-8226 Immunitoxicity:  0.568
A549 Cytotoxicity:  0.312 Hek293 Cytotoxicity:  0.916
BCF:   0.591
?
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:   3.61
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.445
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.411
?
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
NPO14881 Senecio nemorensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11771 Strophanthus kombe Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12320 Adonis amurensis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16145 Apocynum venetum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17873 Adonis vernalis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16145 Apocynum venetum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14881 Senecio nemorensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO17873 Adonis vernalis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12320 Adonis amurensis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11771 Strophanthus kombe Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11771 Strophanthus kombe Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12320 Adonis amurensis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16145 Apocynum venetum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17873 Adonis vernalis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14881 Senecio nemorensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12320 Adonis amurensis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO16145 Apocynum venetum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14881 Senecio nemorensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO11771 Strophanthus kombe Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO17873 Adonis vernalis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO16145 Apocynum venetum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO12320 Adonis amurensis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11771 Strophanthus kombe Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14881 Senecio nemorensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17873 Adonis vernalis Species Ranunculaceae 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 NPC322951 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 NPC180079
0.8667 High Similarity NPC34390
0.8256 Intermediate Similarity NPC329636
0.7949 Intermediate Similarity NPC6108
0.7949 Intermediate Similarity NPC89514
0.775 Intermediate Similarity NPC484212
0.7407 Intermediate Similarity NPC84949
0.7407 Intermediate Similarity NPC480562
0.7407 Intermediate Similarity NPC74945
0.7407 Intermediate Similarity NPC10823
0.7407 Intermediate Similarity NPC31354
0.7407 Intermediate Similarity NPC69576
0.7284 Intermediate Similarity NPC17896
0.7284 Intermediate Similarity NPC469755
0.7284 Intermediate Similarity NPC284406
0.7284 Intermediate Similarity NPC197707
0.7284 Intermediate Similarity NPC251866
0.7229 Intermediate Similarity NPC483822
0.7191 Intermediate Similarity NPC146857
0.6951 Remote Similarity NPC219085
0.6707 Remote Similarity NPC474418
0.6703 Remote Similarity NPC469749
0.6667 Remote Similarity NPC329675
0.6667 Remote Similarity NPC194716
0.6556 Remote Similarity NPC608063
0.6452 Remote Similarity NPC247190
0.6374 Remote Similarity NPC32793
0.6374 Remote Similarity NPC116075
0.6235 Remote Similarity NPC99728
0.6235 Remote Similarity NPC87250
0.6235 Remote Similarity NPC244402
0.6235 Remote Similarity NPC50305
0.618 Remote Similarity NPC469753
0.6154 Remote Similarity NPC72772
0.6092 Remote Similarity NPC157376
0.6092 Remote Similarity NPC99080
0.6092 Remote Similarity NPC142066
0.6092 Remote Similarity NPC603972
0.6067 Remote Similarity NPC9499
0.6067 Remote Similarity NPC484202
0.6067 Remote Similarity NPC471360
0.6067 Remote Similarity NPC469751
0.6067 Remote Similarity NPC471361
0.6067 Remote Similarity NPC86159
0.6067 Remote Similarity NPC469752
0.6067 Remote Similarity NPC469754
0.6067 Remote Similarity NPC70542
0.6023 Remote Similarity NPC152615
0.5977 Remote Similarity NPC84987
0.5977 Remote Similarity NPC484211
0.5955 Remote Similarity NPC250556
0.593 Remote Similarity NPC158344
0.5889 Remote Similarity NPC471359
0.5889 Remote Similarity NPC93883
0.587 Remote Similarity NPC103534
0.587 Remote Similarity NPC44899
0.587 Remote Similarity NPC304260
0.587 Remote Similarity NPC29639
0.5789 Remote Similarity NPC475629
0.5684 Remote Similarity NPC475556
0.5684 Remote Similarity NPC311706
0.5682 Remote Similarity NPC471633
0.5667 Remote Similarity NPC199428
0.5667 Remote Similarity NPC109448
0.5667 Remote Similarity NPC310341
0.5612 Remote Similarity NPC329986
0.5612 Remote Similarity NPC140092
0.5556 Remote Similarity NPC469750
0.5543 Remote Similarity NPC305574
0.5444 Remote Similarity NPC309034
0.5435 Remote Similarity NPC77319
0.5435 Remote Similarity NPC471351
0.5435 Remote Similarity NPC471355
0.5408 Remote Similarity NPC59288
0.5408 Remote Similarity NPC55532
0.5385 Remote Similarity NPC486126
0.5385 Remote Similarity NPC484210
0.5385 Remote Similarity NPC477580
0.5375 Remote Similarity NPC97487
0.5333 Remote Similarity NPC99620
0.5326 Remote Similarity NPC480914
0.5275 Remote Similarity NPC486129
0.5269 Remote Similarity NPC88668
0.5263 Remote Similarity NPC72260
0.5248 Remote Similarity NPC486138
0.5248 Remote Similarity NPC276838
0.5244 Remote Similarity NPC10232
0.5217 Remote Similarity NPC480915
0.5204 Remote Similarity NPC603096
0.52 Remote Similarity NPC232785
0.52 Remote Similarity NPC486139
0.5165 Remote Similarity NPC473852
0.5161 Remote Similarity NPC76572
0.5161 Remote Similarity NPC193382
0.5158 Remote Similarity NPC471354
0.5158 Remote Similarity NPC27507
0.51 Remote Similarity NPC125077
0.5054 Remote Similarity NPC5311
0.5054 Remote Similarity NPC77299
0.5054 Remote Similarity NPC480906

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC322951 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
0.7284 Intermediate Similarity NPD7319 Approved
0.7024 Intermediate Similarity NPD7516 Pre-clinical
0.6064 Remote Similarity NPD8377 Phase 4
0.5955 Remote Similarity NPD7507 Pre-clinical
0.5263 Remote Similarity NPD8294 Phase 4
0.52 Remote Similarity NPD8378 Pre-clinical
0.52 Remote Similarity NPD8379 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