[HTML][HTML] Molecular docking and structure-based drug design strategies
Pharmaceutical research has successfully incorporated a wealth of molecular modeling
methods, within a variety of drug discovery programs, to study complex biological and …
methods, within a variety of drug discovery programs, to study complex biological and …
[HTML][HTML] Tau protein interaction partners and their roles in Alzheimer's disease and other tauopathies
J Sinsky, K Pichlerova, J Hanes - International journal of molecular …, 2021 - mdpi.com
Tau protein plays a critical role in the assembly, stabilization, and modulation of
microtubules, which are important for the normal function of neurons and the brain. In …
microtubules, which are important for the normal function of neurons and the brain. In …
Protein-protein interaction modulators: advances, successes and remaining challenges
Modulating disease-relevant protein-protein interactions (PPIs) using small-molecule
inhibitors is a quite indispensable diagnostic and therapeutic strategy in averting …
inhibitors is a quite indispensable diagnostic and therapeutic strategy in averting …
Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review
P Csermely, T Korcsmáros, HJM Kiss, G London… - Pharmacology & …, 2013 - Elsevier
Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …
methods and in rational drug design, the increase in approved drugs in the past decade did …
[HTML][HTML] Integrative multi-omics and systems bioinformatics in translational neuroscience: A data mining perspective
Bioinformatic analysis of large and complex omics datasets has become increasingly useful
in modern day biology by providing a great depth of information, with its application to …
in modern day biology by providing a great depth of information, with its application to …
Discerning molecular interactions: a comprehensive review on biomolecular interaction databases and network analysis tools
Computational analysis of biomolecular interaction networks is now gaining a lot of
importance to understand the functions of novel genes/proteins. Gene interaction (GI) …
importance to understand the functions of novel genes/proteins. Gene interaction (GI) …
[HTML][HTML] The challenges of OSCC diagnosis: salivary cytokines as potential biomarkers
A Roi, CI Roi, ML Negruțiu, M Riviș… - Journal of clinical …, 2020 - mdpi.com
Fast, economic, and noninvasive, molecular analysis of saliva has the potential to become a
diagnostic tool of reference for several local and systemic diseases, oral cancer included …
diagnostic tool of reference for several local and systemic diseases, oral cancer included …
Measuring protein‐protein and protein‐nucleic acid interactions by biolayer interferometry
A Sultana, JE Lee - Current protocols in protein science, 2015 - Wiley Online Library
Biolayer interferometry (BLI) is a simple, optical dip‐and‐read system useful for measuring
interactions between proteins, peptides, nucleic acids, small molecules, and/or lipids in real …
interactions between proteins, peptides, nucleic acids, small molecules, and/or lipids in real …
[HTML][HTML] Mass spectrometry-based proteomics as an emerging tool in clinical laboratories
AG Birhanu - Clinical Proteomics, 2023 - Springer
Mass spectrometry (MS)-based proteomics have been increasingly implemented in various
disciplines of laboratory medicine to identify and quantify biomolecules in a variety of …
disciplines of laboratory medicine to identify and quantify biomolecules in a variety of …
Persistent spectral based ensemble learning (PerSpect-EL) for protein–protein binding affinity prediction
Protein–protein interactions (PPIs) play a significant role in nearly all cellular and biological
activities. Data-driven machine learning models have demonstrated great power in PPIs …
activities. Data-driven machine learning models have demonstrated great power in PPIs …