Drug Repurposing in Quest for Newer Therapeutic Options Against Cancer
S CHAKRABORTY, S RAY… - Computational Biology in …, 2024 - books.google.com
Drug repurposing, also known as drug redirecting, is a novel approach to reuse and explore
an approved, failed, or abandoned drug and redirecting it toward a new therapeutic …
an approved, failed, or abandoned drug and redirecting it toward a new therapeutic …
Integration of Phenotypic Drug Efficacy and Molecular Chemogenomics Data
GK Kanev - 2024 - research.vu.nl
This thesis thoroughly analyzed the sequence, structure, and molecular interactions of the
two major classes of protein kinases-eukaryotic and atypical. This analysis was intended to …
two major classes of protein kinases-eukaryotic and atypical. This analysis was intended to …
[HTML][HTML] Target2drug: A Novel Programmatic Workflow to Automate in Silico Drug Discovery
ASB Geoffrey, R Madaj, A Sanker, PP Valluri, J Gracia… - 2020 - europepmc.org
Abstract As the Big Data and Artificial Intelligence (AI) revolution continues to affect every
area of our lives, it's influence is also exerted in the areas of bioinformatics, computational …
area of our lives, it's influence is also exerted in the areas of bioinformatics, computational …
Theoretical and Computational Modeling of RNA-Ligand Interactions
Y Zhou - 2021 - search.proquest.com
Ribonucleic acid (RNA) is a polymeric nucleic acid that plays a variety of critical roles in
gene expression and regulation at the level of transcription and translation. Recently, there …
gene expression and regulation at the level of transcription and translation. Recently, there …
Exploring the Sequence vs. Binding Relationships for Monoclonal Antibodies and Other Proteins
P Bisarad - 2022 - search.proquest.com
Molecular recognition forms the basis of all protein interactions, and therefore is crucial for
maintaining biological functions and pathways. It can be governed by many factors, but in …
maintaining biological functions and pathways. It can be governed by many factors, but in …
Recent Advancements in Computing Reliable Binding Free Energies in Drug Discovery Projects
NA Murugan, V Poongavanam… - … : Applications in Preclinical …, 2019 - Springer
In recent times, our healthcare system is being challenged by many drug-resistant
microorganisms and ageing-associated diseases for which we do not have any drugs or …
microorganisms and ageing-associated diseases for which we do not have any drugs or …
[PDF][PDF] VU Research Portal
GK Kanev - research.vu.nl
Cancers are commonly treated with drugs that are unspecific (eg, sunitinib [1]) and rather
toxic (eg, cisplatin [2]). These chemotherapies affect healthy and diseased cells …
toxic (eg, cisplatin [2]). These chemotherapies affect healthy and diseased cells …
Debiasing Algorithms for Protein Ligand Binding Data do not Improve Generalisation
The structured nature of chemical data means machine learning models trained to predict
protein-ligand binding risk overfitting the data, impairing their ability to generalise and make …
protein-ligand binding risk overfitting the data, impairing their ability to generalise and make …
A Scalable, Multiplexed Assay for Decoding Receptor-Ligand Interactions
Chemicals such as drugs, hormones, and odorants can have many potential interactions
with endogenous targets, and uncovering these relationships is critical for understanding …
with endogenous targets, and uncovering these relationships is critical for understanding …