Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review

VT Sabe, T Ntombela, LA Jhamba… - European Journal of …, 2021 - Elsevier
Computer-aided drug design (CADD) is one of the pivotal approaches to contemporary pre-
clinical drug discovery, and various computational techniques and software programs are …

[HTML][HTML] Molecular docking: shifting paradigms in drug discovery

L Pinzi, G Rastelli - International journal of molecular sciences, 2019 - mdpi.com
Molecular docking is an established in silico structure-based method widely used in drug
discovery. Docking enables the identification of novel compounds of therapeutic interest …

On the frustration to predict binding affinities from protein–ligand structures with deep neural networks

M Volkov, JA Turk, N Drizard, N Martin… - Journal of medicinal …, 2022 - ACS Publications
Accurate prediction of binding affinities from protein–ligand atomic coordinates remains a
major challenge in early stages of drug discovery. Using modular message passing graph …

Advancing drug discovery via artificial intelligence

HCS Chan, H Shan, T Dahoun, H Vogel… - Trends in pharmacological …, 2019 - cell.com
Drug discovery and development are among the most important translational science
activities that contribute to human health and wellbeing. However, the development of a new …

[HTML][HTML] Key topics in molecular docking for drug design

PHM Torres, ACR Sodero, P Jofily… - International journal of …, 2019 - mdpi.com
Molecular docking has been widely employed as a fast and inexpensive technique in the
past decades, both in academic and industrial settings. Although this discipline has now had …

Decision making in structure-based drug discovery: visual inspection of docking results

A Fischer, M Smiesko, M Sellner… - Journal of Medicinal …, 2021 - ACS Publications
Molecular docking is a computational method widely used in drug discovery. Due to the
inherent inaccuracies of molecular docking, visual inspection of binding modes is a crucial …

[HTML][HTML] A structure-based drug discovery paradigm

M Batool, B Ahmad, S Choi - International journal of molecular sciences, 2019 - mdpi.com
Structure-based drug design is becoming an essential tool for faster and more cost-efficient
lead discovery relative to the traditional method. Genomic, proteomic, and structural studies …

[HTML][HTML] Computational and artificial intelligence-based methods for antibody development

J Kim, M McFee, Q Fang, O Abdin, PM Kim - Trends in Pharmacological …, 2023 - cell.com
Due to their high target specificity and binding affinity, therapeutic antibodies are currently
the largest class of biotherapeutics. The traditional largely empirical antibody development …

[HTML][HTML] New machine learning and physics-based scoring functions for drug discovery

IA Guedes, AMS Barreto, D Marinho, E Krempser… - Scientific reports, 2021 - nature.com
Scoring functions are essential for modern in silico drug discovery. However, the accurate
prediction of binding affinity by scoring functions remains a challenging task. The …

Bioinformatics approaches to discovering food-derived bioactive peptides: Reviews and perspectives

Z Du, J Comer, Y Li - TrAC Trends in Analytical Chemistry, 2023 - Elsevier
Food-derived bioactive peptides (FBPs) are gaining interest due to their great potential in
agricultural byproduct valorization and high-activity peptide screening. The introduction of …