Natural Product: NPC475625

Natural Product IDNPC475625
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
JHTCAATURRWAKF-NUKVSUKUSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL509577
PubChem CID 44566637
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides
          • [CHEMONTID:0002364] Steroidal saponins

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 JHTCAATURRWAKF-NUKVSUKUSA-N
Standard InCHI InChI=1S/C50H82O22/c1-20-7-12-50(64-18-20)21(2)32-28(72-50)14-26-24-6-5-22-13-23(8-10-48(22,3)25(24)9-11-49(26,32)4)65-45-39(61)37(59)41(31(17-53)68-45)69-47-43(36(58)34(56)29(15-51)67-47)71-46-40(62)42(35(57)30(16-52)66-46)70-44-38(60)33(55)27(54)19-63-44/h20-47,51-62H,5-19H2,1-4H3/t20-,21+,22+,23+,24-,25+,26+,27-,28+,29-,30-,31-,32+,33+,34-,35-,36+,37-,38-,39-,40-,41+,42+,43-,44+,45-,46+,47+,48+,49+,50-/m1/s1
SMILES OC[C@H]1O[C@@H](O[C@H]2CC[C@]3([C@H](C2)CC[C@@H]2[C@@H]3CC[C@]3([C@H]2C[C@H]2[C@@H]3[C@H](C)[C@]3(O2)CC[C@H](CO3)C)C)C)[C@@H]([C@H]([C@H]1O[C@@H]1O[C@H](CO)[C@H]([C@@H]([C@H]1O[C@@H]1O[C@H](CO)[C@H]([C@@H]([C@H]1O)O[C@@H]1OC[C@H]([C@@H]([C@H]1O)O)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1034.53 Volume:   981.176
?
Van der Waals volume.
Dense:   1.054 LogP:   1.058
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.959
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.008
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   54.0
TPSA:   335.06
?
Topological Polar Surface Area.
H-Bond Acceptor:   22.0
H-Bond Donor:   12.0 Rings:   10.0
Heavy Atoms:   22.0

MedChem Properties

QED Drug-Likeness Score:   0.097 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.135 Fsp3:   1.0
MCE-18:   258.62
?
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:   0.707 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.019
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.377 Promiscuous compounds:   0.091

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.579 MDCK Permeability:   -5.076
Pgp-inhibitor:   0.0 Pgp-substrate:   0.875
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):   0.31
20% Bioavailability (F20%):   0.335 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.006
Plasma Protein Binding (PPB):   39.54% Volume Distribution (VD):   -0.458
Fu: 45.881%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.052
BSEP inhibitor:   0.001

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:   0.022
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.906
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):  -0.223 Half-life (T1/2):  3.089

ADMET: Toxicity

hERG Blockers:  0.005 hERG Blockers (10um):  0.005
Human Hepatotoxicity (H-HT):  0.721 Drug-induced Liver Injury (DILI):  0.995
AMES Toxicity:  0.987 Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.002 Skin Sensitization:  1.0
Carcinogencity:  0.113 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.665 Drug-induced Nephrotoxicity:  0.98
Genotoxicity:  0.001 RPMI-8226 Immunitoxicity:  0.269
A549 Cytotoxicity:  0.989 Hek293 Cytotoxicity:  0.969
BCF:   1.408
?
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:   3.359
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.495
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.773
?
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
NPO12929 Polianthes tuberosa Species Asparagaceae Eukaryota aerial parts n.a. n.a. PMID[11087596]
NPO12929 Polianthes tuberosa Species Asparagaceae Eukaryota underground parts n.a. n.a. PMID[12398537]
NPO12929 Polianthes tuberosa Species Asparagaceae Eukaryota fresh tubers n.a. n.a. PMID[14738376]
NPO12929 Polianthes tuberosa Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12929 Polianthes tuberosa Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12929 Polianthes tuberosa Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12929 Polianthes tuberosa Species Asparagaceae 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
NPT165 Cell line HeLa Homo sapiens IC50 = 3.54 ug.mL-1 PMID[8691203]

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 NPC475625 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
0.8713 High Similarity NPC232037
0.8641 High Similarity NPC132080
0.8229 Intermediate Similarity NPC107962
0.8 Intermediate Similarity NPC250393
0.7961 Intermediate Similarity NPC97700
0.7961 Intermediate Similarity NPC184617
0.7961 Intermediate Similarity NPC30856
0.789 Intermediate Similarity NPC470866
0.7685 Intermediate Similarity NPC476112
0.7685 Intermediate Similarity NPC307534
0.7604 Intermediate Similarity NPC234352
0.75 Intermediate Similarity NPC94086
0.75 Intermediate Similarity NPC473817
0.7456 Intermediate Similarity NPC220836
0.7431 Intermediate Similarity NPC470864
0.732 Intermediate Similarity NPC297348
0.732 Intermediate Similarity NPC325828
0.732 Intermediate Similarity NPC249204
0.732 Intermediate Similarity NPC48339
0.732 Intermediate Similarity NPC141769
0.732 Intermediate Similarity NPC477547
0.7248 Intermediate Similarity NPC116756
0.7212 Intermediate Similarity NPC475351
0.7172 Intermediate Similarity NPC477451
0.7103 Intermediate Similarity NPC471464
0.7037 Intermediate Similarity NPC128572
0.7009 Intermediate Similarity NPC92890
0.6961 Remote Similarity NPC211354
0.6842 Remote Similarity NPC233433
0.6762 Remote Similarity NPC6295
0.6757 Remote Similarity NPC115165
0.6696 Remote Similarity NPC84111
0.6696 Remote Similarity NPC287483
0.6696 Remote Similarity NPC470865
0.6695 Remote Similarity NPC480556
0.6636 Remote Similarity NPC160426
0.6635 Remote Similarity NPC107188
0.6635 Remote Similarity NPC19400
0.6634 Remote Similarity NPC177834
0.6545 Remote Similarity NPC477809
0.6538 Remote Similarity NPC206003
0.6538 Remote Similarity NPC473610
0.6529 Remote Similarity NPC210569
0.65 Remote Similarity NPC473505
0.6339 Remote Similarity NPC51172
0.6339 Remote Similarity NPC49032
0.6336 Remote Similarity NPC481189
0.6325 Remote Similarity NPC470862
0.6288 Remote Similarity NPC329727
0.6261 Remote Similarity NPC470863
0.625 Remote Similarity NPC294686
0.625 Remote Similarity NPC330026
0.6231 Remote Similarity NPC329807
0.6216 Remote Similarity NPC473601
0.6207 Remote Similarity NPC473518
0.6174 Remote Similarity NPC475319
0.6154 Remote Similarity NPC232611
0.6134 Remote Similarity NPC480553
0.6132 Remote Similarity NPC222731
0.6129 Remote Similarity NPC15918
0.6111 Remote Similarity NPC305771
0.6111 Remote Similarity NPC264101
0.6111 Remote Similarity NPC94072
0.6111 Remote Similarity NPC169816
0.6102 Remote Similarity NPC480554
0.6087 Remote Similarity NPC98018
0.6087 Remote Similarity NPC284104
0.6087 Remote Similarity NPC103616
0.605 Remote Similarity NPC83137
0.6018 Remote Similarity NPC475643
0.5984 Remote Similarity NPC263359
0.595 Remote Similarity NPC31896
0.5932 Remote Similarity NPC475333
0.5932 Remote Similarity NPC224098
0.5932 Remote Similarity NPC208383
0.5923 Remote Similarity NPC481190
0.592 Remote Similarity NPC273002
0.5893 Remote Similarity NPC14704
0.5856 Remote Similarity NPC485595
0.5804 Remote Similarity NPC195297
0.5789 Remote Similarity NPC202898
0.5752 Remote Similarity NPC113044
0.5752 Remote Similarity NPC283829
0.5752 Remote Similarity NPC161676
0.5736 Remote Similarity NPC244431
0.5726 Remote Similarity NPC470867
0.5714 Remote Similarity NPC125324
0.5662 Remote Similarity NPC329820
0.5625 Remote Similarity NPC79900
0.5625 Remote Similarity NPC215408
0.561 Remote Similarity NPC477811
0.56 Remote Similarity NPC262050
0.5591 Remote Similarity NPC224314
0.5575 Remote Similarity NPC470432
0.5575 Remote Similarity NPC230507
0.552 Remote Similarity NPC232054
0.5514 Remote Similarity NPC485594
0.5508 Remote Similarity NPC274200
0.5505 Remote Similarity NPC291203
0.5505 Remote Similarity NPC217205
0.5462 Remote Similarity NPC480555
0.5462 Remote Similarity NPC151134
0.5462 Remote Similarity NPC150372
0.5447 Remote Similarity NPC108072
0.5446 Remote Similarity NPC54619
0.5405 Remote Similarity NPC312678
0.5405 Remote Similarity NPC253268
0.5405 Remote Similarity NPC474399
0.5391 Remote Similarity NPC141433
0.5378 Remote Similarity NPC6806
0.536 Remote Similarity NPC92297
0.5339 Remote Similarity NPC470433
0.5339 Remote Similarity NPC46190
0.5339 Remote Similarity NPC171073
0.5328 Remote Similarity NPC269297
0.5328 Remote Similarity NPC222202
0.5328 Remote Similarity NPC475550
0.5285 Remote Similarity NPC470861
0.5263 Remote Similarity NPC485590
0.5234 Remote Similarity NPC481418
0.5231 Remote Similarity NPC477807
0.5221 Remote Similarity NPC128123
0.521 Remote Similarity NPC485603
0.5182 Remote Similarity NPC181845
0.5124 Remote Similarity NPC300557
0.5122 Remote Similarity NPC51520
0.5122 Remote Similarity NPC303069
0.512 Remote Similarity NPC194207
0.512 Remote Similarity NPC22779
0.5089 Remote Similarity NPC485591
0.5088 Remote Similarity NPC121453
0.5083 Remote Similarity NPC602423
0.5082 Remote Similarity NPC485604
0.5076 Remote Similarity NPC477808
0.5046 Remote Similarity NPC24960
0.504 Remote Similarity NPC32361

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC475625 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
0.732 Intermediate Similarity NPD8171 Phase 2
0.6296 Remote Similarity NPD8170 Phase 2

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