Rita Casadio Explained

Rita Casadio
Fields:Machine learning
SNP annotation
Bioinformatics
Computational biology
Genome annoation
Workplaces:University of Bologna
Alma Mater:University of Bologna (PhD)
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Awards:ISCB Fellow (2020)
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Rita Casadio is an Adjunct Professor of Biochemistry/Biophysics in the Department of Pharmacy and Biotechnology at the University of Bologna.[1] [2] [3]

Career

She earned her degree in Physics at the University of Bologna, Italy. In 1987, she began her academic career as an Assistant Professor of Biophysics at the University of Bologna, later becoming a full professor of Biochemistry/Biophysics in 2001. Her research primarily focuses on membrane and protein biophysics, as well as computer modeling of biological processes, including protein folding, stability and interactions.

She has authored more than 500 scientific papers and held key roles in various editorial and organizational positions within the field of bioinformatics.

Her work in machine learning has been used for protein structure prediction and methods from her group have been highly ranked in international competitions, such as the Critical Assessment of protein Structure Prediction (CASP) and the Critical Assessment of Function Annotation (CAFA).[4] [5] [6] [7]

Awards and honours

She was elected a Fellow of the International Society for Computational Biology (ISCB) in 2020 for outstanding contributions to the fields of computational biology and bioinformatics.[8]

See also

Notes and References

  1. Web site: Rita Casadio . University of Bologna.
  2. Griffin. Martin. Casadio. Rita. Bergamini. Carlo M.. Transglutaminases: Nature's biological glues. Biochemical Journal. 368. 2. 2002. 377–396. 0264-6021. 10.1042/bj20021234. 12366374 . 1223021.
  3. Capriotti. E.. Fariselli. P.. Casadio. R.. I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure. Nucleic Acids Research. 33. Web Server. 2005. W306–W310. 0305-1048. 10.1093/nar/gki375. 15980478 . 1160136.
  4. Web site: ISCB Fellows. iscb.org. International Society for Computational Biology. Anon. 2020.
  5. Radivojac. Predrag. Clark. Wyatt T. Oron. Tal Ronnen. Schnoes. Alexandra M. Wittkop. Tobias. Sokolov. Artem. Graim. Kiley. Funk. Christopher. Verspoor. Karin. Ben-Hur. Asa. Pandey. Gaurav. Yunes. Jeffrey M. Talwalkar. Ameet S. Repo. Susanna. Souza. Michael L. Piovesan. Damiano. Casadio. Rita. Wang. Zheng. Cheng. Jianlin. Fang. Hai. Gough. Julian. Koskinen. Patrik. Törönen. Petri. Nokso-Koivisto. Jussi. Holm. Liisa. Cozzetto. Domenico. Buchan. Daniel W A. Bryson. Kevin. Jones. David T. Limaye. Bhakti. Inamdar. Harshal. Datta. Avik. Manjari. Sunitha K. Joshi. Rajendra. Chitale. Meghana. Kihara. Daisuke. Lisewski. Andreas M. Erdin. Serkan. Venner. Eric. Lichtarge. Olivier. Rentzsch. Robert. Yang. Haixuan. Romero. Alfonso E. Bhat. Prajwal. Paccanaro. Alberto. Hamp. Tobias. Kaßner. Rebecca. Seemayer. Stefan. Vicedo. Esmeralda. Schaefer. Christian. Achten. Dominik. Auer. Florian. Boehm. Ariane. Braun. Tatjana. Hecht. Maximilian. Heron. Mark. Hönigschmid. Peter. Hopf. Thomas A. Kaufmann. Stefanie. Kiening. Michael. Krompass. Denis. Landerer. Cedric. Mahlich. Yannick. Roos. Manfred. Björne. Jari. Salakoski. Tapio. Wong. Andrew. Shatkay. Hagit. Gatzmann. Fanny. Sommer. Ingolf. Wass. Mark N. Sternberg. Michael J E. Škunca. Nives. Supek. Fran. Bošnjak. Matko. Panov. Panče. Džeroski. Sašo. Šmuc. Tomislav. Kourmpetis. Yiannis A I. van Dijk. Aalt D J . Braak. Cajo J F ter. Zhou. Yuanpeng. Gong. Qingtian. Dong. Xinran. Tian. Weidong. Falda. Marco. Fontana. Paolo. Lavezzo. Enrico. Di Camillo. Barbara. Toppo. Stefano. Lan. Liang. Djuric. Nemanja. Guo. Yuhong. Vucetic. Slobodan. Bairoch. Amos. Linial. Michal. Babbitt. Patricia C. Brenner. Steven E. Orengo. Christine. Rost. Burkhard. Mooney. Sean D. Friedberg. Iddo. A large-scale evaluation of computational protein function prediction. Nature Methods. 10. 3. 2013. 221–227. 1548-7091. 10.1038/nmeth.2340. 7. 23353650 . 3584181.
  6. Rost. Burkhard. Sander. Chris. Casadio. Rita. Fariselli. Piero. Transmembrane helices predicted at 95% accuracy. Protein Science. 4. 3. 2008. 521–533. 0961-8368. 10.1002/pro.5560040318. 7795533 . 2143072.
  7. Rost. Burkhard. Fariselli. Piero. Casadio. Rita. Topology prediction for helical transmembrane proteins at 86% accuracy-Topology prediction at 86% accuracy. Protein Science. 5. 8. 1996. 1704–1718. 0961-8368. 10.1002/pro.5560050824. 8844859 . 2143485.
  8. Web site: ISCB Congratulates and Introduces the 2020 Class of Fellows!. iscb.org. Anon. 2020. International Society for Computational Biology.

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