Noise Reduction Method for Molecular Interaction Energy: Application to in Silico Drug Screening and in Silico Target Protein Screening.

ChemInform ◽  
2006 ◽  
Vol 37 (49) ◽  
Author(s):  
Yoshifumi Fukunishi ◽  
Satoru Kubota ◽  
Haruki Nakamura
Keyword(s):  
Noise Reduction ◽  
Interaction Energy ◽  
Drug Screening ◽  
Molecular Interaction ◽  
In Silico ◽  
Reduction Method ◽  
Target Protein ◽  
Energy Application

scholarly journals In Silico Chromatography: Modeling a New Support for Alkyl-Bonded Phases and a Solvent Phase

2017 ◽  
Vol 2 (2) ◽  
pp. 111-117 ◽  
Author(s):  
Toshihiko Hanai
Keyword(s):  
Hydrogen Bonding ◽  
Interaction Energy ◽  
Silica Gel ◽  
Molecular Interactions ◽  
Molecular Interaction ◽  
In Silico ◽  
Van Der Waals ◽  
Silica Gels ◽  
Electrostatic Energy ◽  
Acidic Drugs

Chromatography is a tool to measure molecular interactions, and computational chemistry is a tool to explain molecular interactions. Therefore, reversed-phase liquid chromatography of acidic drugs using a pentyl- and an octyl-bonded silica gels was quantitatively analyzed in silico. A model pentyl- and an octyl-bonded silica gel and a methanol phases were constructed for docking with acidic drugs. Molecular interaction energy values based on van der Waals energy were obtained after docking an acidic drug into the model pentyl- or octyl-phases. Solvent effects, hydrogen bonding, and electrostatic energy values were obtained after docking an acidic drug onto the model methanol phase. Chromatographically measured log k values were correlated with the sum of van der Waals, hydrogen bonding, and electrostatic energy values. The correlation coefficient between the log k values measured using the pentyl-bonded silica gel phase and the molecular interaction energy values was 0.95 (n = 20); that between the log k values measured using the octyl-bonded silica gel and the molecular interaction energy values was 0.95 (n = 20).

Drug repurposing using similarity-based target prediction, docking studies and scaffold hopping of lefamulin

2020 ◽  
Vol 17 ◽  
Author(s):  
Shikha Sharma ◽  
Shweta Sharma ◽  
Vaishali Pathak ◽  
Parwinder Kaur ◽  
Rajesh Kumar Singh
Keyword(s):  
In Silico ◽  
Target Prediction ◽  
Drug Repurposing ◽  
Docking Studies ◽  
Target Protein ◽  
Future Perspective ◽  
Antibacterial Drug ◽  
Scaffold Hopping ◽  
Target Proteins ◽  
Renin Inhibitors

Aim: To investigate and validate the potential target proteins for drug repurposing of newly FDA approved antibacterial drug. Background: Drug repurposing is the process of assigning indications for drugs other than the one(s) that they were initially developed for. Discovery of entirely new indications from already approved drugs is highly lucrative as it minimizes the pipeline of the drug development process by reducing time and cost. In silico driven technologies made it possible to analyze molecules for different target proteins which are not yet explored. Objective: To analyze possible targets proteins for drug repurposing of lefamulin and their validation. Also, in silico prediction of novel scaffolds from lefamulin has been performed for assisting medicinal chemists in future drug design. Methods: A similarity-based prediction tool was employed for predicting target protein and further investigated using docking studies on PDB ID: 2V16. Besides, various in silico tools were employed for prediction of novel scaffolds from lefamulin using scaffold hopping technique followed by evaluation with various in silico parameters viz., ADME, synthetic accessibility and PAINS. Results: Based on the similarity and target prediction studies, renin is found as the most probable target protein for lefamulin. Further, validation studies using docking of lefamulin revealed the significant interactions of lefamulin with the binding pocket of the target protein. Also, three novel scaffolds were predicted using scaffold hopping technique and found to be in the limit to reduce the chances of drug failure in the physiological system during the last stage approval process. Conclusion: To encapsulate the future perspective, lefamulin may assist in the development of the renin inhibitors and, also three possible novel scaffolds with good pharmacokinetic profile can be developed into both as renin inhibitors and for bacterial infections.

In silico Screening and Molecular Interaction Studies of Tetrahydrocannabinol and its Derivatives with Acetylcholine Binding Protein

2018 ◽  
Vol 12 (2) ◽  
pp. 181-190 ◽  
Author(s):  
Priya P. Panigrahi ◽  
Ramit Singla ◽  
Ankush Bansal ◽  
Moacyr Comar Junior ◽  
Vikas Jaitak ◽  
...  
Keyword(s):  
Molecular Interaction ◽  
In Silico ◽  
Binding Protein ◽  
In Silico Screening ◽  
Acetylcholine Binding Protein ◽  
Interaction Studies
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