Comprehensive survey of recent drug discovery using deep learning
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 …
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 …
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 …
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
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 …
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 …
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
3D Representation Sharing (3dRS) is a web-based tool designed to share biomolecular
structure representations, including 4D ensembles derived from Molecular Dynamics (MD) …
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 …
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
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 …
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 …
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 …
challenge requiring urgent and permanent therapeutic solutions. These solutions can only …