[HTML][HTML] Before and after AlphaFold2: An overview of protein structure prediction

LMF Bertoline, AN Lima, JE Krieger… - Frontiers in …, 2023 - frontiersin.org
Three-dimensional protein structure is directly correlated with its function and its
determination is critical to understanding biological processes and addressing human …

[HTML][HTML] AlphaFold, allosteric, and orthosteric drug discovery: Ways forward

R Nussinov, M Zhang, Y Liu, H Jang - Drug discovery today, 2023 - Elsevier
Highlights•AlphaFold models have rigid protein structures.•Advanced deep algorithms fed
relevant data can accurately predict structures.•Algorithmic advances can harness …

Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment

MF Lensink, G Brysbaert, N Raouraoua… - Proteins: Structure …, 2023 - Wiley Online Library
We present the results for CAPRI Round 54, the 5th joint CASP‐CAPRI protein assembly
prediction challenge. The Round offered 37 targets, including 14 homodimers, 3 homo …

Discovery of novel and selective SIK2 inhibitors by the application of AlphaFold structures and generative models

W Zhu, X Liu, Q Li, F Gao, T Liu, X Chen… - Bioorganic & Medicinal …, 2023 - Elsevier
Abstract Salt-inducible kinase 2 (SIK2) has been recognized as a potential target for anti-
inflammation and anti-cancer therapy. In this paper, based on the binding pose of the …

State-of-the-art in the drug discovery pathway for Chagas disease: A framework for drug development and target validation

JC Gabaldón-Figueira… - … and Reports in …, 2023 - Taylor & Francis
Chagas disease is the most important protozoan infection in the Americas, and constitutes a
significant public health concern throughout the world. Development of new medications …

[HTML][HTML] Artificial intelligence as a tool for creativity

Z Ivcevic, M Grandinetti - Journal of Creativity, 2024 - Elsevier
The release of ChatGPT has sparked quite a bit of interest about creativity in the context of
artificial intelligence (AI), with theorizing and empirical research asking questions about the …

[HTML][HTML] Open data and algorithms for open science in AI-driven molecular informatics

HO Brinkhaus, K Rajan, J Schaub, A Zielesny… - Current Opinion in …, 2023 - Elsevier
Recent years have seen a sharp increase in the development of deep learning and artificial
intelligence-based molecular informatics. There has been a growing interest in applying …

Whole genome structural predictions reveal hidden diversity in putative oxidative enzymes of the lignocellulose-degrading ascomycete Parascedosporium putredinis …

CJR Scott, DR Leadbeater, NC Oates… - Microbiology …, 2023 - Am Soc Microbiol
Economic valorization of lignocellulose is paramount to realizing a true circular bioeconomy;
however, this requires the development of systems and processes to expand the repertoire …

Plant cell wall-mediated disease resistance: Current understanding and future perspectives

A Molina, L Jordá, MÁ Torres, M Martín-Dacal… - Molecular Plant, 2024 - cell.com
Beyond their function as structural barriers, plant cell walls are essential elements for the
adaptation of plants to environmental conditions. Cell walls are dynamic structures whose …

[HTML][HTML] Computational prediction of protein folding rate using structural parameters and network centrality measures

S Nithiyanandam, VK Sangaraju, B Manavalan… - Computers in Biology …, 2023 - Elsevier
Protein folding is a complex physicochemical process whereby a polymer of amino acids
samples numerous conformations in its unfolded state before settling on an essentially …