Natural Product: NPC77861

Natural Product IDNPC77861
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(-)-(7''r,8''r)-Saucerneol J
IUPAC Name 4-[(2S,3R,4R,5R)-5-[4-[(1R,2R)-1-hydroxy-1-(4-hydroxy-3-methoxyphenyl)propan-2-yl]oxy-3-methoxyphenyl]-3,4-dimethyloxolan-2-yl]-2-methoxyphenol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3105543
PubChem CID 73890954
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds
      • [CHEMONTID:0003686] Furanoid lignans
        • [CHEMONTID:0001604] Tetrahydrofuran lignans
          • [CHEMONTID:0003423] 7,7'-epoxylignans

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 GIBPGXUIRFWSNY-ZCZCRYHXSA-N
Standard InCHI InChI=1S/C30H36O8/c1-16-17(2)30(38-29(16)20-8-11-23(32)26(14-20)35-5)21-9-12-24(27(15-21)36-6)37-18(3)28(33)19-7-10-22(31)25(13-19)34-4/h7-18,28-33H,1-6H3/t16-,17-,18-,28+,29+,30-/m1/s1
SMILES C[C@@H]1[C@@H](C)[C@H](c2ccc(c(c2)OC)O[C@H](C)[C@@H](c2ccc(c(c2)OC)O)O)O[C@@H]1c1ccc(c(c1)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   524.24 Volume:   539.804
?
Van der Waals volume.
Dense:   0.971 LogP:   2.35
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.544
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.877
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   23.0
TPSA:   106.84
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   3.0 Rings:   4.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.327 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.032 Fsp3:   0.4
MCE-18:   86.143
?
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:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.779 Fluc inhibitor:   0.432
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.044
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.153
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.257 Promiscuous compounds:   0.277

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.036 MDCK Permeability:   -4.761
Pgp-inhibitor:   0.058 Pgp-substrate:   0.161
PAMPA:   0.129
?
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):   0.0
20% Bioavailability (F20%):   0.033 30% Bioavailability (F30%):   0.037
50% Bioavailability (F50%):   0.956

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.981
Plasma Protein Binding (PPB):   90.542% Volume Distribution (VD):   0.03
Fu: 9.432%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.181
BSEP inhibitor:   0.897

ADMET: Metabolism

CYP1A2-inhibitor:   0.99 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.703
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.997
CYP2D6-inhibitor:   0.013 CYP2D6-substrate:   0.003
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
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):  9.329 Half-life (T1/2):  1.956

ADMET: Toxicity

hERG Blockers:  0.21 hERG Blockers (10um):  0.598
Human Hepatotoxicity (H-HT):  0.808 Drug-induced Liver Injury (DILI):  0.601
AMES Toxicity:  0.579 Rat Oral Acute Toxicity:  0.321
Maximum Recommended Daily Dose:  0.503 Skin Sensitization:  0.299
Carcinogencity:  0.285 Eye Corrosion:  0.002
Eye Irritation:  0.59 Respiratory Toxicity:  0.769
Drug-induced Neurotoxicity:  0.356 Ototoxicity:  0.713
Hematotoxicity:  0.302 Drug-induced Nephrotoxicity:  0.706
Genotoxicity:  0.697 RPMI-8226 Immunitoxicity:  0.231
A549 Cytotoxicity:  0.631 Hek293 Cytotoxicity:  0.704
BCF:   0.897
?
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:   3.454
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.763
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.11
?
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
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. PMID[10924192]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. PMID[11754613]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. root n.a. PMID[14750033]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. PMID[15482936]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota roots n.a. n.a. PMID[18841903]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota Roots n.a. n.a. PMID[24359277]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota Aerial Parts n.a. n.a. PMID[24387347]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. PMID[31642320]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO20323 Saururus chinensis Species Saururaceae 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
NPT164 Organism Human herpesvirus 4 Human herpesvirus 4 EC50 = 6950.0 nM PubChem BioAssay data set
NPT2 Others Unspecified n.a. Ratio CC50/EC50 = 3.3 n.a. PMID[21925888]

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 NPC77861 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
0.8254 Intermediate Similarity NPC304048
0.7368 Intermediate Similarity NPC260842
0.7368 Intermediate Similarity NPC93783
0.7368 Intermediate Similarity NPC320380
0.7302 Intermediate Similarity NPC470372
0.7273 Intermediate Similarity NPC11258
0.7273 Intermediate Similarity NPC21867
0.7273 Intermediate Similarity NPC45774
0.7273 Intermediate Similarity NPC74914
0.6765 Remote Similarity NPC226153
0.6667 Remote Similarity NPC179521
0.6562 Remote Similarity NPC302506
0.6562 Remote Similarity NPC241846
0.6562 Remote Similarity NPC93610
0.6452 Remote Similarity NPC58607
0.6452 Remote Similarity NPC191037
0.6452 Remote Similarity NPC178284
0.6393 Remote Similarity NPC142547
0.6393 Remote Similarity NPC228469
0.6296 Remote Similarity NPC282703
0.6296 Remote Similarity NPC184733
0.6296 Remote Similarity NPC128208
0.6296 Remote Similarity NPC129570
0.6296 Remote Similarity NPC63238
0.6296 Remote Similarity NPC602603
0.6102 Remote Similarity NPC487683
0.5972 Remote Similarity NPC114119
0.5972 Remote Similarity NPC471415
0.5902 Remote Similarity NPC488986
0.5763 Remote Similarity NPC158331
0.5667 Remote Similarity NPC487684
0.5417 Remote Similarity NPC470097
0.5397 Remote Similarity NPC27843
0.5397 Remote Similarity NPC7171
0.5352 Remote Similarity NPC487682
0.5303 Remote Similarity NPC203831
0.5273 Remote Similarity NPC216929
0.5273 Remote Similarity NPC312713
0.5273 Remote Similarity NPC126935
0.5273 Remote Similarity NPC65933
0.5273 Remote Similarity NPC57268
0.5273 Remote Similarity NPC172676
0.5254 Remote Similarity NPC242807
0.5254 Remote Similarity NPC153739
0.5152 Remote Similarity NPC9370
0.5152 Remote Similarity NPC287495
0.5072 Remote Similarity NPC291101
0.5072 Remote Similarity NPC266197

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC77861 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
NPD

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