Dynamic Analysis of Backbone-Hydrogen-Bond Propensity for Protein Binding and Drug Design

2016 ◽  
pp. 317-338
Author(s):  
C Menéndez ◽  
S Accordino ◽  
J Rodriguez ◽  
D Gerbino ◽  
G Appignanesi
PLoS ONE ◽  
2016 ◽  
Vol 11 (10) ◽  
pp. e0165767 ◽  
Author(s):  
Cintia A. Menéndez ◽  
Sebastián R. Accordino ◽  
Darío C. Gerbino ◽  
Gustavo A. Appignanesi

2021 ◽  
pp. 1-10
Author(s):  
Vildan Enisoğlu Atalay ◽  
Büşra Savaş

Cyclin-dependent kinases (CDKs) are commonly known by their role in cell cycle regulation which affects cancer mechanism. In many cancer types, CDKs show extreme activity or CDK inhibiting proteins are dysfunctional. Specifically, CDK2 plays an indispensable role in cell division especially in the G1/S phase and DNA damage repair. Therefore, it is important to find new potential CDK2 inhibitors. In this study, ligand-based drug design is used to design new potential CDK2 inhibitors. Y8 L ligand is obtained from the X-ray crystal structure of human CDK2 (PDB ID: 2XNB) (www.pdb.org) and used as a structure model. By adding hydrophilic and hydrophobic groups to the structure, a training set of 36 molecules is generated. Each molecule examined with Spartan’14 and optimized structures are used for docking to CDK2 structure by AutoDock and AutoDock Vina programs. Ligand-amino acid interactions are analysed with Discovery Studio Visualizer. Van der Waals, Pi-Pi T-shaped, alkyl, pi-alkyl, conventional hydrogen bond and carbon-hydrogen bond interactions are observed. By docking results and viewed interactions, some molecules are identified and discussed as potential CDK2 inhibitors. Additionally, 8 different QSAR descriptors obtained from Spartan’14, Preadmet and ALOGPS 2.1 programs are investigated with multiple linear regulation (MLR) analysis with SPSS program for their impact on affinity value.


Author(s):  
Rahul Agarwal ◽  
Ashutosh Singh ◽  
Subhabrata Sen

Molecular Docking is widely used in CADD (Computer-Aided Drug Designing), SBDD (Structure-Based Drug Designing) and LBDD (Ligand-Based Drug Designing). It is a method used to predict the binding orientation of one molecule with the other and used for any kind of molecule based on the interaction like, small drug molecule with its protein target, protein – protein binding or a DNA – protein binding. Docking is very much popular technique due to its reliable prediction properties. This book chapter will provide an overview of diverse docking methodologies present that are used in drug design and development. There will be discussion on several case studies, pertaining to each method, followed by advantages and disadvantages of the discussed methodology. It will typically aim professionals in the field of cheminformatics and bioinformatics, both in academia and in industry and aspiring scientists and students who want to take up this as a profession in the near future. We will conclude with our opinion on the effectiveness of this technology in the future of pharmaceutical industry.


2007 ◽  
Vol 69 (2) ◽  
pp. 349-357 ◽  
Author(s):  
Vasily Ramensky ◽  
Alexandr Sobol ◽  
Natalia Zaitseva ◽  
Anatoly Rubinov ◽  
Victor Zosimov

2014 ◽  
Vol 644-650 ◽  
pp. 5291-5294
Author(s):  
Tong Wang ◽  
Jian Xin Xue ◽  
Tian Xia

Hydrogen bond and van der Waals interactions between protein and RNA are important. We have developed a set of algorithms for predicting RNA-Protein binding strength by analyzing hydrogen bond and van der Waals interactions between protein and RNA. Firstly, we must identify the RNA-Protein binding sites. In this study, we use features including Pseudo Position-Specific Score Matrix (PsePSSM) computed by PSI-BLAST and Dipeptide Composition (DC) as feature vectors. Then, the classifier is employed to identify the residues that interact with RNA in RNA-binding protein. Then, take into account the number of amino acids hydrogen bonding and van der Waals forces to any nucleotide, the binding strength is calculated. Finally, fuzzy sets method is adopted to predict the binding strength is strong or weak. Our experiments show that the above methods are used effectively to deal with this complicated problem of predicting RNA-protein binding strength.


2017 ◽  
Vol 139 (31) ◽  
pp. 10742-10749 ◽  
Author(s):  
Zheng Cao ◽  
James M. Hutchison ◽  
Charles R. Sanders ◽  
James U. Bowie

ChemInform ◽  
2005 ◽  
Vol 36 (9) ◽  
Author(s):  
James R. Arnold ◽  
Keith W. Burdick ◽  
Scott C.-H. Pegg ◽  
Samuel Toba ◽  
Michelle L. Lamb ◽  
...  

Vaccines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1509
Author(s):  
Robert Clark Penner

We observe that a residue R of the spike glycoprotein of SARS-CoV-2 that has mutated in one or more of the current variants of concern or interest, or under monitoring, rarely participates in a backbone hydrogen bond if R lies in the S1 subunit and usually participates in one if R lies in the S2 subunit. A partial explanation for this based upon free energy is explored as a potentially general principle in the mutagenesis of viral glycoproteins. This observation could help target future vaccine cargos for the evolving coronavirus as well as more generally. A related study of the Delta and Omicron variants suggests that Delta was an energetically necessary intermediary in the evolution from Wuhan-Hu-1 to Omicron.


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