ID: ALA3351138

Max Phase: Preclinical

Molecular Formula: C7H14N2O6

Molecular Weight: 222.20

Molecule Type: Small molecule

Representations

Canonical SMILES:  NC(=O)N[C@H]1O[C@H](CO)[C@@H](O)[C@H](O)[C@H]1O

Standard InChI:  InChI=1S/C7H14N2O6/c8-7(14)9-6-5(13)4(12)3(11)2(1-10)15-6/h2-6,10-13H,1H2,(H3,8,9,14)/t2-,3-,4+,5-,6+/m1/s1

Standard InChI Key:  FKWQEFWENKGUGF-DVKNGEFBSA-N

Molecule Features

Natural Product: No

Oral: No

Chemical Probe: No

Parenteral: No

Molecule Type: Small molecule

Topical: No

First In Class: No

Black Box: No

Chirality: No

Availability: No

Prodrug: No

Properties

Molecular Weight: 222.20

Molecular Weight (Monoisotopic): 222.0852

AlogP: -3.55

#Rotatable Bonds: 2

Polar Surface Area: 145.27

Molecular Species: NEUTRAL

HBA: 6

HBD: 6

#RO5 Violations: 1

HBA (Lipinski): 8

HBD (Lipinski): 7

#RO5 Violations (Lipinski): 1

CX Acidic pKa: 12.08

CX Basic pKa:

CX LogP: -3.55

CX LogD: -3.55

Aromatic Rings: 0

Heavy Atoms: 15

QED Weighted: 0.29

Np Likeness Score: 1.36

References

1. Pastor M, Cruciani G, Clementi S..  (1997)  Smart region definition: a new way to improve the predictive ability and interpretability of three-dimensional quantitative structure-activity relationships.,  40  (10): [PMID:9154968] [10.1021/jm9608016]

2. Venkatarangan P, Hopfinger AJ..  (1999)  Prediction of ligand-receptor binding thermodynamics by free energy force field three-dimensional quantitative structure-activity relationship analysis: applications to a set of glucose analogue inhibitors of glycogen phosphorylase.,  42  (12): [PMID:10377222] [10.1021/jm980515p]

3. Pan D, Liu J, Senese C, Hopfinger AJ, Tseng Y..  (2004)  Characterization of a ligand-receptor binding event using receptor-dependent four-dimensional quantitative structure-activity relationship analysis.,  47  (12): [PMID:15163189] [10.1021/jm030586a]

4. Pastor M, Cruciani G, McLay I, Pickett S, Clementi S..  (2000)  GRid-INdependent descriptors (GRIND): a novel class of alignment-independent three-dimensional molecular descriptors.,  43  (17): [PMID:10966742] [10.1021/jm000941m]

5. Zamora I, Oprea T, Cruciani G, Pastor M, Ungell AL..  (2003)  Surface descriptors for protein-ligand affinity prediction.,  46  (1): [PMID:12502357] [10.1021/jm011051p]

6. Pastor M, Cruciani G, Watson KA..  (1997)  A strategy for the incorporation of water molecules present in a ligand binding site into a three-dimensional quantitative structure--activity relationship analysis.,  40  (25): [PMID:9406599] [10.1021/jm970273d]

7. Gohlke H, Klebe G..  (2002)  DrugScore meets CoMFA: adaptation of fields for molecular comparison (AFMoC) or how to tailor knowledge-based pair-potentials to a particular protein.,  45  (19): [PMID:12213058] [10.1021/jm020808p]

8. So SS, Karplus M..  (1997)  Three-dimensional quantitative structure-activity relationships from molecular similarity matrices and genetic neural networks. 2. Applications.,  40  (26): [PMID:9435905] [10.1021/jm970488n]

9. Nagy V, Felföldi N, Kónya B, Praly JP, Docsa T, Gergely P, Chrysina ED, Tiraidis C, Kosmopoulou MN, Alexacou KM, Konstantakaki M, Leonidas DD, Zographos SE, Oikonomakos NG, Kozmon S, Tvaroška I, Somsák L..  (2012)  N-(4-Substituted-benzoyl)-N'-(β-d-glucopyranosyl)ureas as inhibitors of glycogen phosphorylase: Synthesis and evaluation by kinetic, crystallographic, and molecular modelling methods.,  20  (5): [PMID:22325154] [10.1016/j.bmc.2011.12.059]

10. Uddin R, Saeed M, Ul-Haq Z.  (2013)  Molecular docking- and genetic algorithm-based approaches to produce robust 3D-QSAR models,  [10.1007/s00044-013-0812-0]

Source

Source(1):

• Scientific Literature