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 …
Computational methods and tools in antimicrobial peptide research
PGA Aronica, LM Reid, N Desai, J Li… - Journal of Chemical …, 2021 - ACS Publications
The evolution of antibiotic-resistant bacteria is an ongoing and troubling development that
has increased the number of diseases and infections that risk going untreated. There is an …
has increased the number of diseases and infections that risk going untreated. There is an …
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 …
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 …
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 …
[HTML][HTML] 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 …
Evolutionary analysis of SARS-CoV-2: how mutation of Non-Structural Protein 6 (NSP6) could affect viral autophagy
D Benvenuto, S Angeletti, M Giovanetti, M Bianchi… - Journal of Infection, 2020 - Elsevier
Background SARS-CoV-2 is a new coronavirus that has spread globally, infecting more than
150000 people, and being declared pandemic by the WHO. We provide here bio-informatic …
150000 people, and being declared pandemic by the WHO. We provide here bio-informatic …
[HTML][HTML] 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 …