Comprehensive survey of recent drug discovery using deep learning

J Kim, S Park, D Min, W Kim - International Journal of Molecular Sciences, 2021 - mdpi.com
Drug discovery based on artificial intelligence has been in the spotlight recently as it
significantly reduces the time and cost required for developing novel drugs. With the …

Machine-learning-guided library design cycle for directed evolution of enzymes: the effects of training data composition on sequence space exploration

Y Saito, M Oikawa, T Sato, H Nakazawa, T Ito… - Acs …, 2021 - ACS Publications
Machine learning (ML) is becoming an attractive tool in mutagenesis-based protein
engineering because of its ability to design a variant library containing proteins with a …

Vaccine development using artificial intelligence and machine learning: A review

VS Asediya, PA Anjaria, RA Mathakiya… - International Journal of …, 2024 - Elsevier
The COVID-19 pandemic has underscored the critical importance of effective vaccines, yet
their development is a challenging and demanding process. It requires identifying antigens …

Drug–Target Interactions Prediction at Scale: The Komet Algorithm with the LCIdb Dataset

G Guichaoua, P Pinel, B Hoffmann… - Journal of Chemical …, 2024 - ACS Publications
Drug–target interactions (DTIs) prediction algorithms are used at various stages of the drug
discovery process. In this context, specific problems such as deorphanization of a new …

A tool for feature extraction from biological sequences

S Amerifar, M Norouzi, M Ghandi - Briefings in Bioinformatics, 2022 - academic.oup.com
With the advances in sequencing technologies, a huge amount of biological data is
extracted nowadays. Analyzing this amount of data is beyond the ability of human beings …

3dRS, a web-based tool to share interactive representations of 3D biomolecular structures and molecular dynamics trajectories

G Bayarri, A Hospital, M Orozco - Frontiers in Molecular Biosciences, 2021 - frontiersin.org
3D Representation Sharing (3dRS) is a web-based tool designed to share biomolecular
structure representations, including 4D ensembles derived from Molecular Dynamics (MD) …

Metaheuristic Approach to Synthesis of Suspension System of Mobile Robot for Mining Infrastructure Inspection

M Malarczyk, M Kaminski, J Szrek - Sensors, 2022 - mdpi.com
The article describes the problem of geometric synthesis of the inspection robot suspension
system, designed for operation in difficult conditions with the presence of scattered …

Combined charge and hydrophobicity-guided screening of antibacterial peptides: two-level approach to predict antibacterial activity and efficacy

A Bale, A Dutta, D Mitra - Amino Acids, 2023 - Springer
Antibacterial peptides can be a potential game changer in the fight against antibiotic
resistance. In order for these peptides to become successful antibiotic alternatives, it is …

[图书][B] Microbial Data Intelligence and Computational Techniques for Sustainable Computing

A Khamparia - 2024 - books.google.com
This book offers information on intelligent and computational techniques for microbial data
associated with plant microbes, human microbes etc. The main focus of this book is to …

Computational analysis predicts correlations among amino acids in SARS-COV-2 proteomes

E Broni, WA Miller III - Biomedicines, 2023 - mdpi.com
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a serious global
challenge requiring urgent and permanent therapeutic solutions. These solutions can only …