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 …

A practical guide to machine-learning scoring for structure-based virtual screening

VK Tran-Nguyen, M Junaid, S Simeon, PJ Ballester - Nature Protocols, 2023 - nature.com
Abstract Structure-based virtual screening (SBVS) via docking has been used to discover
active molecules for a range of therapeutic targets. Chemical and protein data sets that …

Empirical scoring functions for structure-based virtual screening: applications, critical aspects, and challenges

IA Guedes, FSS Pereira, LE Dardenne - Frontiers in pharmacology, 2018 - frontiersin.org
Structure-based virtual screening (VS) is a widely used approach that employs the
knowledge of the three-dimensional structure of the target of interest in the design of new …

Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries

C Selvaraj, I Chandra, SK Singh - Molecular diversity, 2021 - Springer
The global spread of COVID-19 has raised the importance of pharmaceutical drug
development as intractable and hot research. Developing new drug molecules to overcome …

Highly flexible ligand docking: Benchmarking of the DockThor program on the LEADS-PEP protein–peptide data set

KB Santos, IA Guedes, ALM Karl… - Journal of Chemical …, 2020 - ACS Publications
Protein–peptide interactions play a crucial role in many cellular and biological functions,
which justify the increasing interest in the development of peptide-based drugs. However …

Boosting the full potential of PyMOL with structural biology plugins

S Rosignoli, A Paiardini - Biomolecules, 2022 - mdpi.com
Over the past few decades, the number of available structural bioinformatics pipelines,
libraries, plugins, web resources and software has increased exponentially and become …

Artificial intelligence: Machine learning approach for screening large database and drug discovery

PP Parvatikar, S Patil, K Khaparkhuntikar, S Patil… - Antiviral Research, 2023 - Elsevier
Recent research in drug discovery dealing with many faces difficulties, including
development of new drugs during disease outbreak and drug resistance due to rapidly …

Machine‐learning scoring functions for structure‐based virtual screening

H Li, KH Sze, G Lu, PJ Ballester - Wiley Interdisciplinary …, 2021 - Wiley Online Library
Molecular docking predicts whether and how small molecules bind to a macromolecular
target using a suitable 3D structure. Scoring functions for structure‐based virtual screening …

Beware of simple methods for structure-based virtual screening: the critical importance of broader comparisons

VK Tran-Nguyen, PJ Ballester - Journal of Chemical Information …, 2023 - ACS Publications
We discuss how data unbiasing and simple methods such as protein-ligand Interaction
FingerPrint (IFP) can overestimate virtual screening performance. We also show that IFP is …

Why hasn't there been more progress in new Chagas disease drug discovery?

AB Vermelho, GC Rodrigues… - Expert Opinion on Drug …, 2020 - Taylor & Francis
Introduction: Chagas disease (CD) is a neglected disease caused by the protozoan parasite
Trypanosoma cruzi. In terms of novel drug discovery, there has been no progress since the …