A Signal Processing Attempt to Identify Cell Division Cycle (CDC) m-RNAs Reveals Couplings with Other Cell Cycles

2016 ◽  
Author(s):  
Mariusz L Zoltowski
Keyword(s):  
Signal Processing ◽  
Cell Division ◽  
Cell Division Cycle ◽  
Cell Cycles

Regulation of genes for the cdc25 phosphatases is important for checkpoint control during the cell division cycle

2001 ◽  
Vol 120 (5) ◽  
pp. A501-A501
Author(s):  
U HAUGWITZ ◽  
M WIEDMANN ◽  
K SPIESBACH ◽  
K ENGELAND ◽  
J MOSSNER
Keyword(s):  
Cell Division ◽  
Cell Division Cycle ◽  
Checkpoint Control

scholarly journals A Molecular Modeling Approach to Identify Potential Antileishmanial Compounds Against the Cell Division Cycle (cdc)-2-Related Kinase 12 (CRK12) Receptor of Leishmania donovani

Biomolecules ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 458
Author(s):  
Emmanuel Broni ◽  
Samuel K. Kwofie ◽  
Seth O. Asiedu ◽  
Whelton A. Miller ◽  
Michael D. Wilson
Keyword(s):  
Natural Products ◽  
Cell Division ◽  
Leishmania Donovani ◽  
Therapeutic Potential ◽  
Neglected Tropical Diseases ◽  
Binding Pocket ◽  
Cell Division Cycle ◽  
World Health ◽  
Atp Binding ◽  
African Flora

The huge burden of leishmaniasis caused by the trypanosomatid protozoan parasite Leishmania is well known. This illness was included in the list of neglected tropical diseases targeted for elimination by the World Health Organization. However, the increasing evidence of resistance to existing antimonial drugs has made the eradication of the disease difficult to achieve, thus warranting the search for new drug targets. We report here studies that used computational methods to identify inhibitors of receptors from natural products. The cell division cycle-2-related kinase 12 (CRK12) receptor is a plausible drug target against Leishmania donovani. This study modelled the 3D molecular structure of the L. donovani CRK12 (LdCRK12) and screened for small molecules with potential inhibitory activity from African flora. An integrated library of 7722 African natural product-derived compounds and known inhibitors were screened against the LdCRK12 using AutoDock Vina after performing energy minimization with GROMACS 2018. Four natural products, namely sesamin (NANPDB1649), methyl ellagic acid (NANPDB1406), stylopine (NANPDB2581), and sennecicannabine (NANPDB6446) were found to be potential LdCRK12 inhibitory molecules. The molecular docking studies revealed two compounds NANPDB1406 and NANPDB2581 with binding affinities of −9.5 and −9.2 kcal/mol, respectively, against LdCRK12 which were higher than those of the known inhibitors and drugs, including GSK3186899, amphotericin B, miltefosine, and paromomycin. All the four compounds were predicted to have inhibitory constant (Ki) values ranging from 0.108 to 0.587 μM. NANPDB2581, NANPDB1649 and NANPDB1406 were also predicted as antileishmanial with Pa and Pi values of 0.415 and 0.043, 0.391 and 0.052, and 0.351 and 0.071, respectively. Molecular dynamics simulations coupled with molecular mechanics Poisson–Boltzmann surface area (MM/PBSA) computations reinforced their good binding mechanisms. Most compounds were observed to bind in the ATP binding pocket of the kinase domain. Lys488 was predicted as a key residue critical for ligand binding in the ATP binding pocket of the LdCRK12. The molecules were pharmacologically profiled as druglike with inconsequential toxicity. The identified molecules have scaffolds that could form the backbone for fragment-based drug design of novel leishmanicides but warrant further studies to evaluate their therapeutic potential.

scholarly journals Targeting Cell Division Cycle 25 Homolog B To Regulate Influenza Virus Replication

2013 ◽  
Vol 87 (24) ◽  
pp. 13775-13784 ◽  
Author(s):  
O. Perwitasari ◽  
A. C. Torrecilhas ◽  
X. Yan ◽  
S. Johnson ◽  
C. White ◽  
...  
Keyword(s):  
Influenza Virus ◽  
Cell Division ◽  
Virus Replication ◽  
Cell Division Cycle ◽  
Influenza Virus Replication

Cell division cycle control in embryonal and alveolar rhabdomyosarcomas

2002 ◽  
Vol 38 (17) ◽  
pp. 2290-2299 ◽  
Author(s):  
A Moretti ◽  
A Borriello ◽  
F Monno ◽  
M Criscuolo ◽  
A Rosolen ◽  
...  
Keyword(s):  
Cell Division ◽  
Cell Division Cycle

scholarly journals Steady-State Size Distributions in Probabilistic Models of the Cell Division Cycle

1985 ◽  
Vol 45 (4) ◽  
pp. 523-540 ◽  
Author(s):  
Kenneth B. Hannsgen ◽  
John J. Tyson ◽  
Layne T. Watson
Keyword(s):  
Steady State ◽  
Cell Division ◽  
Probabilistic Models ◽  
Cell Division Cycle ◽  
Size Distributions ◽  
State Size
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