Structure

Physi-Chem Properties

Molecular Weight:  455.39
Volume:  497.945
LogP:  4.68
LogD:  5.837
LogS:  -5.662
# Rotatable Bonds:  3
TPSA:  35.58
# H-Bond Aceptor:  4
# H-Bond Donor:  1
# Rings:  6
# Heavy Atoms:  4

MedChem Properties

QED Drug-Likeness Score:  0.622
Synthetic Accessibility Score:  6.158
Fsp3:  0.966
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.968
MDCK Permeability:  7.585844286950305e-06
Pgp-inhibitor:  0.001
Pgp-substrate:  0.97
Human Intestinal Absorption (HIA):  0.019
20% Bioavailability (F20%):  0.004
30% Bioavailability (F30%):  0.902

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.002
Plasma Protein Binding (PPB):  76.32223510742188%
Volume Distribution (VD):  0.791
Pgp-substrate:  5.359267711639404%

ADMET: Metabolism

CYP1A2-inhibitor:  0.02
CYP1A2-substrate:  0.134
CYP2C19-inhibitor:  0.122
CYP2C19-substrate:  0.927
CYP2C9-inhibitor:  0.114
CYP2C9-substrate:  0.079
CYP2D6-inhibitor:  0.816
CYP2D6-substrate:  0.873
CYP3A4-inhibitor:  0.421
CYP3A4-substrate:  0.858

ADMET: Excretion

Clearance (CL):  4.193
Half-life (T1/2):  0.378

ADMET: Toxicity

hERG Blockers:  0.977
Human Hepatotoxicity (H-HT):  0.991
Drug-inuced Liver Injury (DILI):  0.97
AMES Toxicity:  0.006
Rat Oral Acute Toxicity:  0.017
Maximum Recommended Daily Dose:  0.479
Skin Sensitization:  0.971
Carcinogencity:  0.013
Eye Corrosion:  0.054
Eye Irritation:  0.025
Respiratory Toxicity:  0.732

Download Data

Data Type Select
General Info & Identifiers & Properties  
Structure MOL file  
Source Organisms  
Biological Activities  
Similar NPs/Drugs  

  Natural Product: NPC39308

Natural Product ID:  NPC39308
Common Name*:   Serratezomine D
IUPAC Name:   n.a.
Synonyms:   Serratezomine D
Standard InCHIKey:  GLLIOBCNWZQYCM-JTDWSUOPSA-N
Standard InCHI:  InChI=1S/C29H49N3O/c1-18-10-21-15-27-24(22-14-26(21)28(11-18)31(3)16-22)7-6-23(30-27)13-20-9-19(2)12-29-25(20)5-4-8-32(29)17-33/h17-30H,4-16H2,1-3H3/t18-,19-,20-,21-,22+,23+,24-,25-,26-,27-,28-,29-/m1/s1
SMILES:  O=CN1CCC[C@H]2[C@H]1C[C@H](C)C[C@@H]2C[C@@H]1CC[C@H]2[C@H](N1)C[C@H]1C[C@@H](C)C[C@@H]3[C@@H]1C[C@H]2CN3C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL507157
PubChem CID:   44511345
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0003787] Quinolidines

*Note: the InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
**Note: the Chemical Classification was calculated by NPClassifier Version 1.5. Reference: PMID:34662515.

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO32462.1 Huperzia serrata Under-species n.a. n.a. n.a. n.a. n.a. PMID[19447614]

☑ 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 NP ID 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

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT66 Individual Protein Acetylcholinesterase Electrophorus electricus IC50 = 600000.0 nM PMID[533591]

☑ Note for Activity Records:
☉ The quantitative biological activities were primarily integrated from ChEMBL (Version-30) database and were also directly collected from PubMed literature. PubMed PMID was provided as the reference link for each activity record.

  Chemically structural similarity: I. Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes 4,3285 NPs with experimentally-derived bioactivity available in NPASS)

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules. Tc lies between [0, 1] where '1' indicates the highest similarity. What is Tanimoto coefficient

●  The left chart: Distribution of similarity level between NPC39308 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

Similarity Score Similarity Level Natural Product ID
0.7241 Intermediate Similarity NPC57163
0.7241 Intermediate Similarity NPC116881
0.7108 Intermediate Similarity NPC25110
0.6667 Remote Similarity NPC17770
0.6506 Remote Similarity NPC473442
0.6506 Remote Similarity NPC120167
0.65 Remote Similarity NPC469970
0.6463 Remote Similarity NPC271640
0.6375 Remote Similarity NPC53276
0.6277 Remote Similarity NPC43308
0.6196 Remote Similarity NPC153734
0.6023 Remote Similarity NPC477002
0.6 Remote Similarity NPC243635
0.6 Remote Similarity NPC151004
0.6 Remote Similarity NPC271803
0.6 Remote Similarity NPC68043
0.6 Remote Similarity NPC180401
0.6 Remote Similarity NPC206241
0.6 Remote Similarity NPC266383
0.6 Remote Similarity NPC48448
0.6 Remote Similarity NPC290231
0.6 Remote Similarity NPC228980
0.5875 Remote Similarity NPC21781
0.587 Remote Similarity NPC12035
0.5814 Remote Similarity NPC124384
0.5806 Remote Similarity NPC90150
0.5667 Remote Similarity NPC80447
0.5663 Remote Similarity NPC89921
0.5632 Remote Similarity NPC245223
0.5612 Remote Similarity NPC21035

  Chemically structural similarity: II. Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC39308 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
0.6667 Remote Similarity NPD3721 Approved
0.6667 Remote Similarity NPD3722 Approved
0.6404 Remote Similarity NPD3155 Clinical (unspecified phase)
0.6292 Remote Similarity NPD7155 Clinical (unspecified phase)
0.6267 Remote Similarity NPD3727 Discontinued
0.6 Remote Similarity NPD1822 Approved
0.6 Remote Similarity NPD1823 Approved
0.6 Remote Similarity NPD1821 Approved
0.5758 Remote Similarity NPD6934 Discontinued

  Bioactivity similarity: Similar Natural Products in NPASS

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