Protein design: From the aspect of water solubility and stability

R Qing, S Hao, E Smorodina, D **, A Zalevsky… - Chemical …, 2022 - ACS Publications
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 …

[HTML][HTML] The R language: an engine for bioinformatics and data science

FM Giorgi, C Ceraolo, D Mercatelli - Life, 2022 - mdpi.com
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 …

Accelerating antibiotic discovery through artificial intelligence

MCR Melo, JRMA Maasch… - Communications …, 2021 - nature.com
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 …

[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 …

A boosting ensemble learning based hybrid light gradient boosting machine and extreme gradient boosting model for predicting house prices

R Sibindi, RW Mwangi, AG Waititu - Engineering Reports, 2023 - Wiley Online Library
The implementation of tree‐ensemble models has become increasingly essential in solving
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

B Manavalan, S Basith, TH Shin, L Wei… - Molecular Therapy Nucleic …, 2019 - cell.com
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 …

DeepSol: a deep learning framework for sequence-based protein solubility prediction

S Khurana, R Rawi, K Kunji, GY Chuang… - …, 2018 - academic.oup.com
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 …

Machine learning for biologics: opportunities for protein engineering, developability, and formulation

H Narayanan, F Dingfelder, A Butté, N Lorenzen… - Trends in …, 2021 - cell.com
Successful biologics must satisfy multiple properties including activity and particular
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

A Safavi, A Kefayat, E Mahdevar, A Abiri… - Vaccine, 2020 - Elsevier
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 …

[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 …