Challenges and opportunities in cancer drug resistance
RA Ward, S Fawell, N Floc'h, V Flemington… - Chemical …, 2020 - ACS Publications
There has been huge progress in the discovery of targeted cancer therapies in recent years.
However, even for the most successful and impactful cancer drugs which have been …
However, even for the most successful and impactful cancer drugs which have been …
Peptide-based electrochemical biosensors utilized for protein detection
V Vanova, K Mitrevska, V Milosavljevic, D Hynek… - Biosensors and …, 2021 - Elsevier
Proteins are generally detected as biomarkers for tracing or determining various disorders in
organisms. Biomarker proteins can be tracked in samples with various origins and in …
organisms. Biomarker proteins can be tracked in samples with various origins and in …
DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations
Predicting the effect of missense variations on protein stability and dynamics is important for
understanding their role in diseases, and the link between protein structure and function …
understanding their role in diseases, and the link between protein structure and function …
mCSM-PPI2: predicting the effects of mutations on protein–protein interactions
Protein–protein Interactions are involved in most fundamental biological processes, with
disease causing mutations enriched at their interfaces. Here we present mCSM-PPI2, a …
disease causing mutations enriched at their interfaces. Here we present mCSM-PPI2, a …
mmCSM-PPI: predicting the effects of multiple point mutations on protein–protein interactions
Protein–protein interactions play a crucial role in all cellular functions and biological
processes and mutations leading to their disruption are enriched in many diseases. While a …
processes and mutations leading to their disruption are enriched in many diseases. While a …
mCSM-membrane: predicting the effects of mutations on transmembrane proteins
Significant efforts have been invested into understanding and predicting the molecular
consequences of mutations in protein coding regions, however nearly all approaches have …
consequences of mutations in protein coding regions, however nearly all approaches have …
[HTML][HTML] Allostery: allosteric cancer drivers and innovative allosteric drugs
Here, we discuss the principles of allosteric activating mutations, propagation downstream of
the signals that they prompt, and allosteric drugs, with examples from the Ras signaling …
the signals that they prompt, and allosteric drugs, with examples from the Ras signaling …
epitope3D: a machine learning method for conformational B-cell epitope prediction
The ability to identify antigenic determinants of pathogens, or epitopes, is fundamental to
guide rational vaccine development and immunotherapies, which are particularly relevant …
guide rational vaccine development and immunotherapies, which are particularly relevant …
mCSM-AB2: guiding rational antibody design using graph-based signatures
Motivation A lack of accurate computational tools to guide rational mutagenesis has made
affinity maturation a recurrent challenge in antibody (Ab) development. We previously …
affinity maturation a recurrent challenge in antibody (Ab) development. We previously …
mycoCSM: using graph-based signatures to identify safe potent hits against mycobacteria
Development of new potent, safe drugs to treat Mycobacteria has proven to be challenging,
with limited hit rates of initial screens restricting subsequent development efforts. Despite …
with limited hit rates of initial screens restricting subsequent development efforts. Despite …