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We have generated the ligand based and structure based pharmacophores and validated exhaustively.
For the discovery of novel Caspase-3 non-peptide inhibitors from Maybridge database, ligand based and structure based virtual screening methods were used.
From the validation results it was found that GH (Goodness of Hit) scores for the selected ligand based and structure based pharmacophore models were 0.89 and 0.97, respectively, which indicate that the quality of the pharmacophore models are acceptable as GH value is >0.7.
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In this study, we have explored both ligand-based and structure based approaches for virtual screening of AChE.
Ligand based approach (CoMFA and CoMSIA) and structure based approach (molecular dynamics simulations assisted molecular docking study) were applied for the identification of important features of benzoxazepine moiety, responsible for mTOR inhibition.
The computational approaches for in silico prediction can be roughly categorized into genome based approaches, network topology based approaches, literature knowledge based methods, and structure based approaches [ 11].
PolyPhen 2.0 is based on combination of sequence and structure based attributes and uses naive Bayesian classifier for the identification of an amino acid substitution and the impact of mutation.
We have investigated the organism specific recognition of protein-RNA complexes based on various sequence and structure based features such as binding propensity, preference of residues at conserved positions, binding segments, binding motifs, neighboring residues and interacting amino acid-nucleotide pairs.
To determine secondary structures, randomly selected representative sequences of each cluster in the guide phylogeny tree, serpins S1, 19, 22, 34 and 35 were subjected structural based sequence alignment using the web based STRAP (Structure based Alignment Program).
In practice, we distinguish two broad categories of virtual screenings: (a) ligand based and (b) structure based [42, 43].
The methods for HLA peptide binding prediction can be divided into three categories: (1) position-specific scoring matrix (PSSM) based, (2) machine learning based, and (3) structure based.
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