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Found 7 papers, 1 papers with code
Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models
Protein engineering is an emerging field in biotechnology that has the potential to revolutionize various areas, such as antibody design, drug discovery, food security, ecology, and more.
Mathematics-assisted directed evolution and protein engineering
Persistent Laplacians, an emerging technique in topological data analysis (TDA), have made structure-based embeddings a superb option in AIDE and AIPE.
SVSBI: Sequence-based virtual screening of biomolecular interactions
Virtual screening (VS) is an essential technique for understanding biomolecular interactions, particularly, drug design and discovery.
Emerging dominant SARS-CoV-2 variants
Accurate and reliable forecasting of emerging dominant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants enables policymakers and vaccine makers to get prepared for future waves of infections.
Persistent Laplacian projected Omicron BA.4 and BA.5 to become new dominating variants
In particular, BA. 4 and BA. 5 are about 36\% more infectious than BA. 2 and are projected to become new dominating variants by natural selection.
Methodology-centered review of molecular modeling, simulation, and prediction of SARS-CoV-2
To provide the reader a quick update about the status of molecular modeling, simulation, and prediction of SARS-CoV-2, we present a comprehensive and systematic methodology-centered narrative in the nick of time.
Noise control and utility: from regulatory network to spatial patterning
Stochasticity (or noise) at cellular and molecular levels has been observed extensively as a universal feature for living systems.
