Using Cluster Theory to Calculate the Experimental Structure Factors of Antibody Solutions
Sign Up to like & getrecommendations! Published in 2022 at "Molecular Pharmaceutics"
DOI: 10.1021/acs.molpharmaceut.3c00191
Abstract: Monoclonal antibody solutions are set to become a major therapeutic tool in the years to come, capable of targeting various diseases by clever design of their antigen binding site. However, the formulation of stable solutions… read more here.
Keywords: structure factors; using cluster; antibody solutions; experimental structure ... See more keywords
What's the gap? A possible strategy for advancing theory, and an appeal for experimental structure data to drive that advance
Sign Up to like & getrecommendations! Published in 2020 at "RSC Advances"
DOI: 10.1039/d0ra07496a
Abstract: There is substantial demand for theoretical/computational tools that can produce correct predictions of the geometric structure and band gap to accelerate the design and screening of new materials with desirable electronic properties. DFT-based methods exist… read more here.
Keywords: gap; experimental structure; data drive; structure ... See more keywords
The impact of AlphaFold2 on experimental structure solution
Sign Up to like & getrecommendations! Published in 2022 at "Faraday Discussions"
DOI: 10.1101/2022.04.07.487522
Abstract: AlphaFold2 is a machine-learning based program that predicts a protein structure based on the amino acid sequence. In this article, we report on the current usages of this new tool and give examples from our… read more here.
Keywords: structure solution; experimental structure; impact alphafold2; structure ... See more keywords