scholarly journals A day in the life of a Scientific Officer

2020 ◽  
Vol 42 (1) ◽  
pp. 48-49
Keyword(s):  
Cancer Research ◽  
Veterinary Medicine ◽  
Drug Discovery ◽  
Cancer Biology ◽  
Master's Degree ◽  
Animal Science ◽  
Master’S Degree ◽  
Scientific Officer ◽  
Training Manager

Alexis De Haven Brandon is a Higher Scientific Officer for the Institute of Cancer Research. She specialises in in vivo research for drug discovery projects in oncology. Having completed a degree in Animal Science, she initially worked with research cattle in the veterinary medicine field. Moving to working with rodents in the oncology field 16 years ago, she obtained a Master's Degree in Cancer Biology through day release from her employment. Lorenza Giannella (Training Manager, Biochemical Society) spoke with her about her work.

scholarly journals Functional Genomics for Cancer Research: Applications In Vivo and In Vitro

2019 ◽  
Vol 3 (1) ◽  
pp. 345-363 ◽  
Author(s):  
Thomas A. O'Loughlin ◽  
Luke A. Gilbert
Keyword(s):  
Cancer Research ◽  
Functional Genomics ◽  
Cancer Biology ◽  
Response To Therapy ◽  
Great Promise ◽  
Lethal Gene ◽  
Cancer Therapies ◽  
Cancer Phenotypes

Functional genomics holds great promise for the dissection of cancer biology. The elucidation of genetic cooperation and molecular details that govern oncogenesis, metastasis, and response to therapy is made possible by robust technologies for perturbing gene function coupled to quantitative analysis of cancer phenotypes resulting from genetic or epigenetic perturbations. Multiplexed genetic perturbations enable the dissection of cooperative genetic lesions as well as the identification of synthetic lethal gene pairs that hold particular promise for constructing innovative cancer therapies. Lastly, functional genomics strategies enable the highly multiplexed in vivo analysis of genes that govern tumorigenesis as well as of the complex multicellular biology of a tumor, such as immune response and metastasis phenotypes. In this review, we discuss both historical and emerging functional genomics approaches and their impact on the cancer research landscape.

Industry Watch

2005 ◽  
Vol 09 (19) ◽  
pp. 998-1007
Keyword(s):  
Cancer Research ◽  
Natural Products ◽  
Drug Discovery ◽  
Japanese Encephalitis ◽  
Living Cell ◽  
Drug Candidate ◽  
Single Shot ◽  
Research Technology ◽  
Japanese Encephalitis Vaccine ◽  
Scientific Officer

Leading US Neuroscientist Appointed Chief Scientific Officer of Living Cell Technologies. Trillium Therapeutics Acquires Australia-based Arthron Ltd. Star Pharmaceutical Seeks Singapore Stock Market Listing. Astellas and MerLion Collaborate to Develop Natural Products Drug Candidate. Sumitomo Pharmaceuticals Signs Agreement with Merck & Co. Biosensors Bags US Patent for Heart Stent Technology. MerLion Pharma and Cancer Research Technology Announce Drug Discovery Collaboration. OctoPlus and SingVax Collaborate to Develop Single-shot Japanese Encephalitis Vaccine. Rockeby Moves into African Marketing.

Student Experience Applying to Graduate School for Speech-Language Pathology

2020 ◽  
Vol 5 (1) ◽  
pp. 192-205
Author(s):  
Lesley Sylvan ◽  
Andrea Perkins ◽  
Carly Truglio
Keyword(s):  
Graduate School ◽  
Master's Degree ◽  
Graduate Programs ◽  
Student Experience ◽  
Degree Programs ◽  
Speech Language Pathology ◽  
Application Process ◽  
Master's Degree Programs ◽  
Language Pathology ◽  
Master’S Degree

Purpose The purpose of this study is to better understand the experiences faced by students during the application process for master's degree programs in speech-language pathology. Method Data were collected through administering an online survey to 365 volunteers who had applied to master's degree programs in speech-language pathology. Survey questions were designed to gain the student perspective of the application process through exploration of students' deciding factors for top choices of graduate programs, emotional involvement in the application process, biases/rumors heard, student challenges, advice to future applicants, and what students would change about the application process. Results Factors that influenced participants' reasoning for selecting their “top choice” programs were largely consistent with previous studies. Issues that shaped the student experience applying to graduate school for speech-language pathology included financial constraints, concern regarding the prominence of metrics such as Graduate Record Examinations scores in the admissions process, a perceived lack of guidance and advising from faculty, and confusion regarding variation among graduate program requirements. Conclusion Gaining insight into the student experience with the application process for graduate programs in speech-language pathology yields useful information from a perspective not frequently explored in prior literature. While the data presented in this study suggest the process is confusing and challenging to many applicants, the discussion highlights practical solutions and sheds light on key issues that should be considered carefully by individual graduate programs as well as the field as a whole.

Master's Degree in Psychology

2009 ◽  
Author(s):  
Jessica Kohout ◽  
William E. Pate
Keyword(s):  
Master's Degree ◽  
Master’S Degree

Quantitative Ranking of Ligand Binding Kinetics with a Multiscale Milestoning Simulation Approach

2018 ◽  
Author(s):  
Benjamin R. Jagger ◽  
Christoper T. Lee ◽  
Rommie Amaro
Keyword(s):  
Molecular Dynamics ◽  
Drug Discovery ◽  
Small Molecule ◽  
Brownian Dynamics ◽  
Model Simulation ◽  
Computational Cost ◽  
Lead Selection ◽  
Delta G ◽  
Dynamics Simulations

<p>The ranking of small molecule binders by their kinetic (kon and koff) and thermodynamic (delta G) properties can be a valuable metric for lead selection and optimization in a drug discovery campaign, as these quantities are often indicators of in vivo efficacy. Efficient and accurate predictions of these quantities can aid the in drug discovery effort, acting as a screening step. We have previously described a hybrid molecular dynamics, Brownian dynamics, and milestoning model, Simulation Enabled Estimation of Kinetic Rates (SEEKR), that can predict kon’s, koff’s, and G’s. Here we demonstrate the effectiveness of this approach for ranking a series of seven small molecule compounds for the model system, -cyclodextrin, based on predicted kon’s and koff’s. We compare our results using SEEKR to experimentally determined rates as well as rates calculated using long-timescale molecular dynamics simulations and show that SEEKR can effectively rank the compounds by koff and G with reduced computational cost. We also provide a discussion of convergence properties and sensitivities of calculations with SEEKR to establish “best practices” for its future use.</p>

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