I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction
Most proteins in cells are composed of multiple folding units (or domains) to perform
complex functions in a cooperative manner. Relative to the rapid progress in single-domain …
complex functions in a cooperative manner. Relative to the rapid progress in single-domain …
Current progress and open challenges for applying deep learning across the biosciences
Deep Learning (DL) has recently enabled unprecedented advances in one of the grand
challenges in computational biology: the half-century-old problem of protein structure …
challenges in computational biology: the half-century-old problem of protein structure …
[HTML][HTML] Highly accurate protein structure prediction with AlphaFold
Proteins are essential to life, and understanding their structure can facilitate a mechanistic
understanding of their function. Through an enormous experimental effort 1, 2, 3, 4, the …
understanding of their function. Through an enormous experimental effort 1, 2, 3, 4, the …
Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations
Structure prediction for proteins lacking homologous templates in the Protein Data Bank
(PDB) remains a significant unsolved problem. We developed a protocol, CI-TASSER, to …
(PDB) remains a significant unsolved problem. We developed a protocol, CI-TASSER, to …
Mapping the landscape of artificial intelligence applications against COVID-19
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by
the World Health Organization, which has reported over 18 million confirmed cases as of …
the World Health Organization, which has reported over 18 million confirmed cases as of …
COVID-19 coronavirus vaccine design using reverse vaccinology and machine learning
To ultimately combat the emerging COVID-19 pandemic, it is desired to develop an effective
and safe vaccine against this highly contagious disease caused by the SARS-CoV-2 …
and safe vaccine against this highly contagious disease caused by the SARS-CoV-2 …
Improved protein structure prediction using predicted interresidue orientations
The prediction of interresidue contacts and distances from coevolutionary data using deep
learning has considerably advanced protein structure prediction. Here, we build on these …
learning has considerably advanced protein structure prediction. Here, we build on these …
Macromolecular modeling and design in Rosetta: recent methods and frameworks
The Rosetta software for macromolecular modeling, docking and design is extensively used
in laboratories worldwide. During two decades of development by a community of …
in laboratories worldwide. During two decades of development by a community of …
Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions
Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, developing drugs for central nervous system (CNS) disorders remains the most …
However, developing drugs for central nervous system (CNS) disorders remains the most …
Protein structure and sequence reanalysis of 2019-nCoV genome refutes snakes as its intermediate host and the unique similarity between its spike protein insertions …
As the infection of 2019-nCoV coronavirus is quickly developing into a global pneumonia
epidemic, the careful analysis of its transmission and cellular mechanisms is sorely needed …
epidemic, the careful analysis of its transmission and cellular mechanisms is sorely needed …