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Protein design: From the aspect of water solubility and stability
Water solubility and structural stability are key merits for proteins defined by the primary
sequence and 3D-conformation. Their manipulation represents important aspects of the …
sequence and 3D-conformation. Their manipulation represents important aspects of the …
[HTML][HTML] The R language: an engine for bioinformatics and data science
The R programming language is approaching its 30th birthday, and in the last three decades
it has achieved a prominent role in statistics, bioinformatics, and data science in general. It …
it has achieved a prominent role in statistics, bioinformatics, and data science in general. It …
Accelerating antibiotic discovery through artificial intelligence
By targeting invasive organisms, antibiotics insert themselves into the ancient struggle of the
host-pathogen evolutionary arms race. As pathogens evolve tactics for evading antibiotics …
host-pathogen evolutionary arms race. As pathogens evolve tactics for evading antibiotics …
[HTML][HTML] Antimicrobial peptides: Opportunities and challenges in overcoming resistance
C Bucataru, C Ciobanasu - Microbiological Research, 2024 - Elsevier
Antibiotic resistance represents a global health threat, challenging the efficacy of traditional
antimicrobial agents and necessitating innovative approaches to combat infectious …
antimicrobial agents and necessitating innovative approaches to combat infectious …
A boosting ensemble learning based hybrid light gradient boosting machine and extreme gradient boosting model for predicting house prices
The implementation of tree‐ensemble models has become increasingly essential in solving
classification and prediction problems. Boosting ensemble techniques have been widely …
classification and prediction problems. Boosting ensemble techniques have been widely …
Meta-4mCpred: a sequence-based meta-predictor for accurate DNA 4mC site prediction using effective feature representation
DNA N4-methylcytosine (4mC) is an important genetic modification and plays crucial roles in
differentiation between self and non-self DNA and in controlling DNA replication, cell cycle …
differentiation between self and non-self DNA and in controlling DNA replication, cell cycle …
DeepSol: a deep learning framework for sequence-based protein solubility prediction
Motivation Protein solubility plays a vital role in pharmaceutical research and production
yield. For a given protein, the extent of its solubility can represent the quality of its function …
yield. For a given protein, the extent of its solubility can represent the quality of its function …
Machine learning for biologics: opportunities for protein engineering, developability, and formulation
Successful biologics must satisfy multiple properties including activity and particular
physicochemical features that are globally defined as developability. These multiple …
physicochemical features that are globally defined as developability. These multiple …
Exploring the out of sight antigens of SARS-CoV-2 to design a candidate multi-epitope vaccine by utilizing immunoinformatics approaches
SARS-CoV-2 causes a severe respiratory disease called COVID-19. Currently, global health
is facing its devastating outbreak. However, there is no vaccine available against this virus …
is facing its devastating outbreak. However, there is no vaccine available against this virus …
[HTML][HTML] Applications of machine learning in antibody discovery, process development, manufacturing and formulation: current trends, challenges, and opportunities
TT Khuat, R Bassett, E Otte, A Grevis-James… - Computers & Chemical …, 2024 - Elsevier
While machine learning (ML) has made significant contributions to the biopharmaceutical
field, its applications are still in the early stages in terms of providing direct support for quality …
field, its applications are still in the early stages in terms of providing direct support for quality …