New Results
Tertiary structural motif sequence statistics enable facile prediction and design of peptides that bind anti-apoptotic Bfl-1 and Mcl-1
Vincent Frappier, Justin M. Jenson, Jianfu Zhou, Gevorg Grigoryan, Amy E. Keating
doi: https://doi.org/10.1101/425926
Vincent Frappier
1Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
Justin M. Jenson
1Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
Jianfu Zhou
2Department of Computer Science, Dartmouth College, Hanover, New Hampshire, United States of America
Gevorg Grigoryan
2Department of Computer Science, Dartmouth College, Hanover, New Hampshire, United States of America
3Institute for Quantitative Biomedical Sciences, Dartmouth College, Hanover, New Hampshire, United States of America
4Department of Biological Sciences, Dartmouth College, Hanover, New Hampshire, United States of America
Amy E. Keating
1Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
5Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
6Koch Center for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
Article usage
Posted October 16, 2018.
Tertiary structural motif sequence statistics enable facile prediction and design of peptides that bind anti-apoptotic Bfl-1 and Mcl-1
Vincent Frappier, Justin M. Jenson, Jianfu Zhou, Gevorg Grigoryan, Amy E. Keating
bioRxiv 425926; doi: https://doi.org/10.1101/425926
Subject Area
Subject Areas
- Biochemistry (11571)
- Bioengineering (8622)
- Bioinformatics (28868)
- Biophysics (14803)
- Cancer Biology (11941)
- Cell Biology (17168)
- Clinical Trials (138)
- Developmental Biology (9302)
- Ecology (14019)
- Epidemiology (2067)
- Evolutionary Biology (18128)
- Genetics (12145)
- Genomics (16616)
- Immunology (11707)
- Microbiology (27692)
- Molecular Biology (11387)
- Neuroscience (60096)
- Paleontology (447)
- Pathology (1847)
- Pharmacology and Toxicology (3184)
- Physiology (4878)
- Plant Biology (10278)
- Synthetic Biology (2849)
- Systems Biology (7289)
- Zoology (1619)