Use of machine learning approaches for novel drug discovery
abstract Introduction: The use of computational tools in the early stages of drug development
has increased in recent decades. Machine learning (ML) approaches have been of special …
has increased in recent decades. Machine learning (ML) approaches have been of special …
The IS6 family, a clinically important group of insertion sequences including IS26
The IS 6 family of bacterial and archaeal insertion sequences, first identified in the early
1980s, has proved to be instrumental in the rearrangement and spread of multiple antibiotic …
1980s, has proved to be instrumental in the rearrangement and spread of multiple antibiotic …
Prottrans: Toward understanding the language of life through self-supervised learning
Computational biology and bioinformatics provide vast data gold-mines from protein
sequences, ideal for Language Models (LMs) taken from Natural Language Processing …
sequences, ideal for Language Models (LMs) taken from Natural Language Processing …
Beyond shielding: the roles of glycans in the SARS-CoV-2 spike protein
The ongoing COVID-19 pandemic caused by severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) has resulted in more than 28,000,000 infections and 900,000 …
coronavirus 2 (SARS-CoV-2) has resulted in more than 28,000,000 infections and 900,000 …
Human gut bacteria produce ΤΗ17-modulating bile acid metabolites
The microbiota modulates gut immune homeostasis. Bacteria influence the development
and function of host immune cells, including T helper cells expressing interleukin-17A (TH17 …
and function of host immune cells, including T helper cells expressing interleukin-17A (TH17 …
Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms
INTRODUCTION The emergence of three lethal coronaviruses in< 20 years and the urgency
of the COVID-19 pandemic have prompted efforts to develop new therapeutic strategies …
of the COVID-19 pandemic have prompted efforts to develop new therapeutic strategies …
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing
A newly described coronavirus named severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has …
(SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has …
Evaluating protein transfer learning with TAPE
Protein modeling is an increasingly popular area of machine learning research. Semi-
supervised learning has emerged as an important paradigm in protein modeling due to the …
supervised learning has emerged as an important paradigm in protein modeling due to the …
Modeling aspects of the language of life through transfer-learning protein sequences
Background Predicting protein function and structure from sequence is one important
challenge for computational biology. For 26 years, most state-of-the-art approaches …
challenge for computational biology. For 26 years, most state-of-the-art approaches …
Clustal Omega for making accurate alignments of many protein sequences
F Sievers, DG Higgins - Protein Science, 2018 - Wiley Online Library
Clustal Omega is a widely used package for carrying out multiple sequence alignment.
Here, we describe some recent additions to the package and benchmark some alternative …
Here, we describe some recent additions to the package and benchmark some alternative …