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Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
The identification of interactions between drugs/compounds and their targets is crucial for
the development of new drugs. In vitro screening experiments (ie bioassays) are frequently …
the development of new drugs. In vitro screening experiments (ie bioassays) are frequently …
[HTML][HTML] Artificial intelligence in pharmaceutical sciences
Drug discovery and development affects various aspects of human health and dramatically
impacts the pharmaceutical market. However, investments in a new drug often go …
impacts the pharmaceutical market. However, investments in a new drug often go …
AI-based structure prediction empowers integrative structural analysis of human nuclear pores
INTRODUCTION The eukaryotic nucleus protects the genome and is enclosed by the two
membranes of the nuclear envelope. Nuclear pore complexes (NPCs) perforate the nuclear …
membranes of the nuclear envelope. Nuclear pore complexes (NPCs) perforate the nuclear …
The SARS-CoV-2 nucleocapsid protein is dynamic, disordered, and phase separates with RNA
Abstract The SARS-CoV-2 nucleocapsid (N) protein is an abundant RNA-binding protein
critical for viral genome packaging, yet the molecular details that underlie this process are …
critical for viral genome packaging, yet the molecular details that underlie this process are …
NMRFAM-SPARKY: enhanced software for biomolecular NMR spectroscopy
SPARKY (Goddard and Kneller, SPARKY 3) remains the most popular software program for
NMR data analysis, despite the fact that development of the package by its originators …
NMR data analysis, despite the fact that development of the package by its originators …
Comparative protein structure modeling using MODELLER
B Webb, A Sali - Current protocols in bioinformatics, 2016 - Wiley Online Library
Comparative protein structure modeling predicts the three‐dimensional structure of a given
protein sequence (target) based primarily on its alignment to one or more proteins of known …
protein sequence (target) based primarily on its alignment to one or more proteins of known …
Protein structure prediction on the Web: a case study using the Phyre server
Determining the structure and function of a novel protein is a cornerstone of many aspects of
modern biology. Over the past decades, a number of computational tools for structure …
modern biology. Over the past decades, a number of computational tools for structure …
Comparative protein structure modeling using Modeller
N Eswar, B Webb, MA Marti‐Renom… - Current protocols in …, 2006 - Wiley Online Library
Functional characterization of a protein sequence is one of the most frequent problems in
biology. This task is usually facilitated by accurate three‐dimensional (3‐D) structure of the …
biology. This task is usually facilitated by accurate three‐dimensional (3‐D) structure of the …
NetSurfP‐2.0: Improved prediction of protein structural features by integrated deep learning
The ability to predict local structural features of a protein from the primary sequence is of
paramount importance for unraveling its function in absence of experimental structural …
paramount importance for unraveling its function in absence of experimental structural …
Externalized histone H4 orchestrates chronic inflammation by inducing lytic cell death
The perpetuation of inflammation is an important pathophysiological contributor to the global
medical burden. Chronic inflammation is promoted by non-programmed cell death,; …
medical burden. Chronic inflammation is promoted by non-programmed cell death,; …