Advancements and Challenges in Computational Biology

PLoS Computational Biology

Volumn 11, Issue 1, 2015, Pages

  Nussinov, Ruth ^a,b  

^a FREDERICK NATIONAL LABORATORY FOR CANCER RESEARCH   (United States)

^b TEL AVIV UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL CHEMISTRY;

COMPUTATIONAL BIOLOGY;

BIOLOGY;

ACCESS TO INFORMATION; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGY; CANCER GENETICS; COMPUTER NETWORK; COMPUTER PROGRAM; CONNECTOME; CRYSTALLOGRAPHY; DISEASE SURVEILLANCE; ELECTRON MICROSCOPY; FLUORESCENCE RESONANCE ENERGY TRANSFER; GENE EXPRESSION; GENE IDENTIFICATION; GENE MUTATION; GENETIC ASSOCIATION; GENETIC SUSCEPTIBILITY; MOLECULARLY TARGETED THERAPY; MUTATIONAL ANALYSIS; NUCLEAR MAGNETIC RESONANCE; PHENOTYPE; PROTEOMICS; PUBLICATION; RADIATION SCATTERING; SCIENTIFIC LITERATURE; HUMAN; PROCEDURES; TRENDS;

COMPUTATIONAL BIOLOGY; HUMANS;

EID: 84922255060     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004053     Document Type: Article

References (5)

1. Nussinov R, (2014) A top 12 list for Biocomputing. A decade of progress and challenges ahead. Biomedical Computation Review 17–22.
2. Jakobsson E, (2005) The top ten advances of the last decade. Biomedical Computation Review 11–15.
3. Nussinov R, Jang H, Tsai CJ, (2014) The structural basis for cancer treatment decisions. Oncotarget 5: 7285–7302.
4. Frauenfelder H, Sligar SG, Wolynes PG, (1991) The energy landscapes and motions of proteins. Science 254: 1598–1603.
5. Nussinov R, Wolynes PG, (2014) A second molecular biology revolution? The energy landscapes of biomolecular function. Phys Chem Chem Phys 16: 6321–6322.