The Application of Genomics and Proteomics to Toxicological Sciences

2003 ◽  
pp. 401-414
Author(s):  
M. Vidyasagar

This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. It starts from first principles, so that no previous knowledge of probability is necessary. However, the work is rigorous and mathematical, making it useful to engineers and mathematicians, even those not interested in biological applications. A range of exercises is provided, including drills to familiarize the reader with concepts and more advanced problems that require deep thinking about the theory. Biological applications are taken from post-genomic biology, especially genomics and proteomics. The topics examined include standard material such as the Perron–Frobenius theorem, transient and recurrent states, hitting probabilities and hitting times, maximum likelihood estimation, the Viterbi algorithm, and the Baum–Welch algorithm. The book contains discussions of extremely useful topics not usually seen at the basic level, such as ergodicity of Markov processes, Markov Chain Monte Carlo (MCMC), information theory, and large deviation theory for both i.i.d and Markov processes. It also presents state-of-the-art realization theory for hidden Markov models. Among biological applications, it offers an in-depth look at the BLAST (Basic Local Alignment Search Technique) algorithm, including a comprehensive explanation of the underlying theory. Other applications such as profile hidden Markov models are also explored.


Author(s):  
D Samba Reddy

Thirty-nine (39) new drugs have been approved by the U.S. FDA in 2012, a record highest number of approvals since 1996. The record is a sign that pharma companies are poised to tap recent advances from genomics and proteomics. This list includes novel new drugs, known as new molecular entities (NMEs), biologics and new products. Many life-saving drugs are approved for marketing. The list includes a total of 10 drugs for cancer treatment, and nearly a quarter of those approved in 2012 had orphan drug status.  Among the breakthrough drugs approved in 2012 were ivacaftor (cystic fibrosis), vasmodegib (skin cancer), HPC-C (human cord blood product), ruxolitinib (myelofibrosis) and a new combination drug to treat HIV. In addition,  several unique products were approved for the treatment of macular degeneration, chronic weight management, overactive bladder, actinic keratosis, erectile dysfunction, glaucoma, respiratory distress syndrome, and COPD. The approval of 39 drugs in 2012 underscores a robust success rate and confirms that innovation is once again beginning to pay off. In the existing climate of reduced revenues in the face of generic competitions, the future and survival of big companies rests heavily on their unique niche products. It is apparent that big Pharma and a growing number of emerging Biotechs alike have focused their attention on developing new NMEs for rare diseases. In 2012, the length of the FDA’s review is shorter than agencies in other countries. Innovative models adopted for R&D strategies, communications, and new regulatory changes appear to shorten development timelines. Despite record drug approvals, there is bleak scope for blockbusters because most of these drugs have a limited market. The pipeline for blockbusters appears very low. However, there is unmet medical need for new drugs in autism, Alzheimer’s disease and epilepsy. Overall, the new drug approval list unveils unique and reemerging trends indicating that the pharma companies are poised for big growth from new brands approved for marketing for narrow-spectrum indications.    


2001 ◽  
Vol 2 (4) ◽  
pp. 399-415 ◽  
Author(s):  
Tuan Vo-Dinh ◽  
Minoo Askari

2009 ◽  
Vol 128 (1-3) ◽  
pp. 110-118 ◽  
Author(s):  
Javier Robalino ◽  
Ryan B. Carnegie ◽  
Nuala O‘Leary ◽  
Severine A. Ouvry-Patat ◽  
Enrique de la Vega ◽  
...  

2007 ◽  
Vol 210 (9) ◽  
pp. 1593-1601 ◽  
Author(s):  
D. Kultz ◽  
D. Fiol ◽  
N. Valkova ◽  
S. Gomez-Jimenez ◽  
S. Y. Chan ◽  
...  

10.2741/s118 ◽  
2010 ◽  
Vol S2 (3) ◽  
pp. 1068-1080 ◽  
Author(s):  
Michal Horowitz

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