Natural Product: NPC531559

Natural Product IDNPC531559
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(1~{R},3~{a}~{S},5~{a}~{R},5~{b}~{R},7~{a}~{R},9~{S},11~{a}~{R},11~{b}~{R},13~{a}~{R},13~{b}~{R})-1-(1-formylvinyl)-9-hydroxy-5~{a},5~{b},8,8,11~{a}-pentamethyl-1,2,3,4,5,6,7,7~{a},9,10,11,11~{b},12,13,13~{a},13~{b}-hexadecahydrocyclopenta[a]chrysene-3~{a}-carboxylic acid
IUPAC Name (1~{R},3~{a}~{S},5~{a}~{R},5~{b}~{R},7~{a}~{R},9~{S},11~{a}~{R},11~{b}~{R},13~{a}~{R},13~{b}~{R})-1-(1-formylvinyl)-9-hydroxy-5~{a},5~{b},8,8,11~{a}-pentamethyl-1,2,3,4,5,6,7,7~{a},9,10,11,11~{b},12,13,13~{a},13~{b}-hexadecahydrocyclopenta[a]chrysene-3~{a}-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 OTNMMCVDNMEIGO-XNWPAUOFSA-N
Standard InCHI InChI=1S/C30H46O4/c1-18(17-31)19-9-14-30(25(33)34)16-15-28(5)20(24(19)30)7-8-22-27(4)12-11-23(32)26(2,3)21(27)10-13-29(22,28)6/h17,19-24,32H,1,7-16H2,2-6H3,(H,33,34)/t19-,20+,21-,22+,23-,24-,27-,28+,29+,30-/m0/s1
SMILES C=C(C=O)[C@@H]1CC[C@]2(C(=O)O)CC[C@]3(C)[C@H](CC[C@@H]4[C@@]5(C)CC[C@H](O)C(C)(C)[C@@H]5CC[C@]43C)[C@H]12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   470.34 Volume:   511.905
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Van der Waals volume.
Dense:   0.919 LogP:   2.99
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.799
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.131
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   28.0
TPSA:   74.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.377 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.914 Fsp3:   0.867
MCE-18:   104.5
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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:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.721 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:   0.004
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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:   0.33 Promiscuous compounds:   0.094

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.531 MDCK Permeability:   -5.088
Pgp-inhibitor:   0.0 Pgp-substrate:   0.047
PAMPA:   0.996
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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%):   0.976 30% Bioavailability (F30%):   0.481
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.906 MRP1:   0.96
Plasma Protein Binding (PPB):   97.3% Volume Distribution (VD):   -0.301
Fu: 3.081%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.991
OATP1B3 inhibitor:   0.49 BCRP inhibitor:   0.029
BSEP inhibitor:   0.529

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.008 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.194 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.003 CYP3A4-substrate:   0.002
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.001
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):  4.411 Half-life (T1/2):  0.822

ADMET: Toxicity

hERG Blockers:  0.028 hERG Blockers (10um):  0.044
Human Hepatotoxicity (H-HT):  0.572 Drug-induced Liver Injury (DILI):  0.592
AMES Toxicity:  0.457 Rat Oral Acute Toxicity:  0.513
Maximum Recommended Daily Dose:  0.524 Skin Sensitization:  0.987
Carcinogencity:  0.913 Eye Corrosion:  0.261
Eye Irritation:  0.809 Respiratory Toxicity:  0.922
Drug-induced Neurotoxicity:  0.083 Ototoxicity:  0.472
Hematotoxicity:  0.53 Drug-induced Nephrotoxicity:  0.858
Genotoxicity:  0.969 RPMI-8226 Immunitoxicity:  0.044
A549 Cytotoxicity:  0.256 Hek293 Cytotoxicity:  0.293
BCF:   0.637
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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:   3.584
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.209
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.609
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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
NPO18975 Melilotus messanensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18975 Melilotus messanensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18975 Melilotus messanensis Species Fabaceae 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 NPC531559 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
0.8621 High Similarity NPC264317
0.8621 High Similarity NPC294438
0.8525 High Similarity NPC488165
0.8197 Intermediate Similarity NPC16377
0.7419 Intermediate Similarity NPC30583
0.7344 Intermediate Similarity NPC151191
0.7302 Intermediate Similarity NPC488164
0.7302 Intermediate Similarity NPC264005
0.6818 Remote Similarity NPC2783
0.6769 Remote Similarity NPC476071
0.6567 Remote Similarity NPC18064
0.6562 Remote Similarity NPC472608
0.6515 Remote Similarity NPC488506
0.6515 Remote Similarity NPC220498
0.6418 Remote Similarity NPC201655
0.6269 Remote Similarity NPC24772
0.6269 Remote Similarity NPC213832
0.625 Remote Similarity NPC269396
0.6111 Remote Similarity NPC481311
0.6056 Remote Similarity NPC169933
0.6 Remote Similarity NPC68828
0.6 Remote Similarity NPC601275
0.597 Remote Similarity NPC192744
0.5915 Remote Similarity NPC486704
0.5882 Remote Similarity NPC80590
0.5857 Remote Similarity NPC4309
0.5797 Remote Similarity NPC211162
0.5797 Remote Similarity NPC183374
0.5797 Remote Similarity NPC291373
0.5797 Remote Similarity NPC30322
0.5775 Remote Similarity NPC269360
0.5775 Remote Similarity NPC475061
0.5735 Remote Similarity NPC119743
0.5714 Remote Similarity NPC271974
0.5714 Remote Similarity NPC247312
0.5696 Remote Similarity NPC486709
0.5694 Remote Similarity NPC160506
0.5616 Remote Similarity NPC608379
0.5571 Remote Similarity NPC474686
0.5556 Remote Similarity NPC488213
0.5522 Remote Similarity NPC246445
0.5493 Remote Similarity NPC195395
0.5488 Remote Similarity NPC486699
0.5405 Remote Similarity NPC478841
0.5405 Remote Similarity NPC488166
0.5405 Remote Similarity NPC600004
0.5357 Remote Similarity NPC290349
0.5352 Remote Similarity NPC181225
0.5342 Remote Similarity NPC474719
0.5294 Remote Similarity NPC74595
0.5294 Remote Similarity NPC264665
0.5278 Remote Similarity NPC277399
0.5278 Remote Similarity NPC474512
0.527 Remote Similarity NPC611139
0.525 Remote Similarity NPC605397
0.5231 Remote Similarity NPC192638
0.5231 Remote Similarity NPC25511
0.5231 Remote Similarity NPC600137
0.5217 Remote Similarity NPC298168
0.5217 Remote Similarity NPC143133
0.52 Remote Similarity NPC601176
0.5161 Remote Similarity NPC232112
0.5143 Remote Similarity NPC12774
0.5125 Remote Similarity NPC606354
0.5067 Remote Similarity NPC252714
0.5065 Remote Similarity NPC603461
0.5062 Remote Similarity NPC611262
0.5056 Remote Similarity NPC486700
0.5056 Remote Similarity NPC275312

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC531559 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
0.8621 High Similarity NPD7520 Phase 1
0.5694 Remote Similarity NPD8035 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