Large protein databases reveal structural complementarity and functional locality
Recent breakthroughs in protein structure prediction have led to a surge in high-quality 3D models, highlighting the need for efficient…
Nature Communications
We develop software permitting robust rational design of such molecules. The chemical building blocks that we are most interested in, and from which chemists can synthesize new molecules, include amino acids with exotic side chains, mirror-image D-amino acids, β- and γ- amino acids, peptoids and more exotic polymer building blocks. Our interests include the rational design of peptide macrocycle drugs able to bind to targets of therapeutic interest, the robust engineering of new enzymes able to catalyze chemical reactions of industrial or medicinal use, and the creation of new nanomaterials with exotic properties. We are also greatly interested in harnessing new and emerging computational technologies, such as GPUs, FPGAs, quantum computers and deep neural networks, to further advance physics-based heteropolymer design methods.
Biomolecular Design Lab
Recent breakthroughs in protein structure prediction have led to a surge in high-quality 3D models, highlighting the need for efficient…
Nature CommunicationsAlthough canonical protein design has benefited from machine learning methods trained on databases of protein sequences and structures, synthetic heteropolymer…
Methods in EnzymologyRational computational design is crucial to the pursuit of novel drugs and therapeutic agents. Meso-scale cyclic peptides, which consist of…
Computational Biology