AlphaFold, artificial intelligence (AI), and allostery

R Nussinov, M Zhang, Y Liu, H Jang - The Journal of Physical …, 2022 - ACS Publications
AlphaFold has burst into our lives. A powerful algorithm that underscores the strength of
biological sequence data and artificial intelligence (AI). AlphaFold has appended projects …

Artificial intelligence: the milestone in modern biomedical research

K Athanasopoulou, GN Daneva, PG Adamopoulos… - …, 2022 - mdpi.com
In recent years, the advent of new experimental methodologies for studying the high
complexity of the human genome and proteome has led to the generation of an increasing …

[HTML][HTML] Unleashing the power of artificial intelligence for diagnosing and treating infectious diseases: A comprehensive review

AA Rabaan, MA Bakhrebah, J Alotaibi, ZS Natto… - Journal of Infection and …, 2023 - Elsevier
Infectious diseases present a global challenge, requiring accurate diagnosis, effective
treatments, and preventive measures. Artificial intelligence (AI) has emerged as a promising …

Plant mitochondrial genome map (PMGmap): A software tool for the comprehensive visualization of coding, noncoding and genome features of plant mitochondrial …

X Zhang, H Chen, Y Ni, B Wu, J Li… - Molecular Ecology …, 2024 - Wiley Online Library
Tools for visualizing genomes are essential for investigating genomic features and their
interactions. Currently, tools designed originally for animal mitogenomes and plant …

[HTML][HTML] Machine learning in the coagulation and hemostasis arena: an overview and evaluation of methods, review of literature, and future directions

HH Rashidi, KA Bowers, MR Gil - Journal of Thrombosis and Haemostasis, 2023 - Elsevier
Artificial Intelligence and machine-learning (ML) studies are increasingly populating the life
science space and some have also started to integrate certain clinical decision support …

The whack-a-mole governance challenge for AI-enabled synthetic biology: literature review and emerging frameworks

TA Undheim - Frontiers in Bioengineering and Biotechnology, 2024 - frontiersin.org
AI-enabled synthetic biology has tremendous potential but also significantly increases
biorisks and brings about a new set of dual use concerns. The picture is complicated given …

Computing the volume, surface area, mean, and Gaussian curvatures of molecules and their derivatives

P Koehl, A Akopyan… - Journal of Chemical …, 2023 - ACS Publications
Geometry is crucial in our efforts to comprehend the structures and dynamics of
biomolecules. For example, volume, surface area, and integrated mean and Gaussian …

QuantumShellNet: ground-state eigenvalue prediction of materials using electronic shell structures and fermionic properties via convolutions

C Polat, H Kurban, M Kurban - Computational Materials Science, 2025 - Elsevier
Efficient and precise characterization of material properties is critical in quantum mechanical
modeling. While Density Functional Theory (DFT) remains a foundational method for …

A bibliometric analysis of artificial intelligence applications in spine care

Y Zhang, M Hu, W Zhao, X Liu, Q Peng… - … Surgery Part A …, 2024 - thieme-connect.com
Background With the rapid development of science and technology, artificial intelligence (AI)
has been widely used in the diagnosis and prognosis of various spine diseases. It has been …

Archaeophenomics of ancient domestic plants and animals using geometric morphometrics: a review

A Evin, L Bouby, V Bonhomme… - Peer Community …, 2022 - peercommunityjournal.org
Geometric morphometrics revolutionized domestication studies through the precise quanti
cation of the phenotype of ancient plant and animal remains. Geometric morphometrics …