scholarly journals The Generations of Sequencing Technologies: An Overview

Author(s):  
Ayobami Adesiyan ◽  
Emmanuel Kade ◽  
Iyebeye Ifeakachukwu ◽  
Kafayat Oladimeji ◽  
Kehinde Sowunmi ◽  
...  

The world has now entered into a replacement era of genomics due to the continued advancements within the next generation high throughput sequencing technologies, which incorporates sequencing by synthesis-fluorescent in place sequencing (FISSEQ), pyrosequencing, sequencing by ligation using polony amplification, supported oligonucleotide detection (SOLiD), sequencing by hybridization alongside sequencing by ligation, and nanopore technology. Great impacts of those methods are often seen for solving the genome related problems of plant and Animalia which will open the door of a replacement era of genomics. This might ultimately overcome the Sanger sequencing that ruled for 30 years. NGS is predicted to advance and make the drug discovery process more rapid.

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Navneet Kumar Yadav ◽  
Pooja Shukla ◽  
Ankur Omer ◽  
Shruti Pareek ◽  
R. K. Singh

The world has now entered into a new era of genomics because of the continued advancements in the next generation high throughput sequencing technologies, which includes sequencing by synthesis-fluorescent in situ sequencing (FISSEQ), pyrosequencing, sequencing by ligation using polony amplification, supported oligonucleotide detection (SOLiD), sequencing by hybridization along with sequencing by ligation, and nanopore technology. Great impacts of these methods can be seen for solving the genome related problems of plant and animal kingdom that will open the door of a new era of genomics. This may ultimately overcome the Sanger sequencing that ruled for 30 years. NGS is expected to advance and make the drug discovery process more rapid.


Author(s):  
Mark A. Griep ◽  
Marjorie L. Mikasen

ReAction! gives a scientist's and artist's response to the dark and bright sides of chemistry found in 140 films, most of them contemporary Hollywood feature films but also a few documentaries, shorts, silents, and international films. Even though there are some examples of screen chemistry between the actors and of behind-the-scenes special effects, this book is really about the chemistry when it is part of the narrative. It is about the dualities of Dr. Jekyll vs. inventor chemists, the invisible man vs. forensic chemists, chemical weapons vs. classroom chemistry, chemical companies that knowingly pollute the environment vs. altruistic research chemists trying to make the world a better place to live, and, finally, about people who choose to experiment with mind-altering drugs vs. the drug discovery process. Little did Jekyll know when he brought the Hyde formula to his lips that his personality split would provide the central metaphor that would come to describe chemistry in the movies. This book explores the two movie faces of this supposedly neutral science. Watching films with chemical eyes, Dr. Jekyll is recast as a chemist engaged in psychopharmaceutical research but who becomes addicted to his own formula. He is balanced by the often wacky inventor chemists who make their discoveries by trial-and-error.


2021 ◽  
pp. 247255522110006
Author(s):  
Puneet Khurana ◽  
Lisa McWilliams ◽  
Jonathan Wingfield ◽  
Derek Barratt ◽  
Bharath Srinivasan

Target engagement by small molecules is necessary for producing a physiological outcome. In the past, a lot of emphasis was placed on understanding the thermodynamics of such interactions to guide structure–activity relationships. It is becoming clearer, however, that understanding the kinetics of the interaction between a small-molecule inhibitor and the biological target [structure–kinetic relationship (SKR)] is critical for selection of the optimum candidate drug molecule for clinical trial. However, the acquisition of kinetic data in a high-throughput manner using traditional methods can be labor intensive, limiting the number of molecules that can be tested. As a result, in-depth kinetic studies are often carried out on only a small number of compounds, and usually at a later stage in the drug discovery process. Fundamentally, kinetic data should be used to drive key decisions much earlier in the drug discovery process, but the throughput limitations of traditional methods preclude this. A major limitation that hampers acquisition of high-throughput kinetic data is the technical challenge in collecting substantially confluent data points for accurate parameter estimation from time course analysis. Here, we describe the use of the fluorescent imaging plate reader (FLIPR), a charge-coupled device (CCD) camera technology, as a potential high-throughput tool for generating biochemical kinetic data with smaller time intervals. Subsequent to the design and optimization of the assay, we demonstrate the collection of highly confluent time-course data for various kinase protein targets with reasonable throughput to enable SKR-guided medicinal chemistry. We select kinase target 1 as a special case study with covalent inhibition, and demonstrate methods for rapid and detailed analysis of the resultant kinetic data for parameter estimation. In conclusion, this approach has the potential to enable rapid kinetic studies to be carried out on hundreds of compounds per week and drive project decisions with kinetic data at an early stage in drug discovery.


2004 ◽  
Vol 9 (4) ◽  
pp. 286-293 ◽  
Author(s):  
Hong Xin ◽  
Alejandro Bernal ◽  
Frank A. Amato ◽  
Albert Pinhasov ◽  
Jack Kauffman ◽  
...  

The drug discovery process pursued by major pharmaceutical companies for many years starts with target identification followed by high-throughput screening (HTS) with the goal of identifying lead compounds. To accomplish this goal, significant resources are invested into automation of the screening process or HTS. Robotic systems capable of handling thousands of data points per day are implemented across the pharmaceutical sector. Many of these systems are amenable to handling cell-based screening protocols as well. On the other hand, as companies strive to develop innovative products based on novel mechanisms of action(s), one of the current bottlenecks of the industry is the target validation process. Traditionally, bioinformatics and HTS groups operate separately at different stages of the drug discovery process. The authors describe the convergence and integration of HTS and bioinformatics to perform high-throughput target functional identification and validation. As an example of this approach, they initiated a project with a functional cell-based screen for a biological process of interest using libraries of small interfering RNA (siRNA) molecules. In this protocol, siRNAs function as potent gene-specific inhibitors. siRNA-mediated knockdown of the target genes is confirmed by TaqMan analysis, and genes with impacts on biological functions of interest are selected for further analysis. Once the genes are confirmed and further validated, they may be used for HTS to yield lead compounds.


2016 ◽  
Vol 52 (58) ◽  
pp. 9067-9070 ◽  
Author(s):  
J. Aretz ◽  
Y. Kondoh ◽  
K. Honda ◽  
U. R. Anumala ◽  
M. Nazaré ◽  
...  

Incorporation of early druggability assessment in the drug discovery process provides a means to prioritize target proteins for high-throughput screening.


2000 ◽  
Vol 22 (6) ◽  
pp. 169-170 ◽  
Author(s):  
Charles J. Manly

Drug discovery today requires the focused use of laboratory automation and other resources in combinatorial chemistry and high-throughput screening (HTS). The ultimate value of both combinatorial chemistry and HTS technologies and the lasting impact they will have on the drug discovery process is a chapter that remains to be written. Central to their success and impact is how well they are integrated with each other and with the rest of the drug discovery processes-informatics is key to this success. This presentation focuses on informatics and the integration of the disciplines of combinatorial chemistry and HTS in modern drug discovery. Examples from experiences at Neurogen from the last five years are described.


2020 ◽  
Author(s):  
Puneet Khurana ◽  
Lisa McWilliams ◽  
Jonathan Wingfield ◽  
Derek Barratt ◽  
Bharath Srinivasan

<p>Target engagement by small-molecules is necessary for producing a physiological outcome. In the past, a lot of emphasis was placed on understanding the thermodynamics of such interactions to guide structure-activity relationship. However, it is becoming clearer that understanding the kinetics of the interaction between a small molecule inhibitor and the biological target (structure kinetic relationship, SKR) is critical for selection of the optimum candidate drug molecule for clinical trial. However, the acquisition of kinetic data in high-throughput manner using traditional methods can be labor intensive, limiting the number of molecules that can be tested. As a result, in depth kinetic studies are often carried out only on a small number of compounds and, usually, at a later stage in the drug discovery process. Fundamentally, kinetic data should be used to drive key decisions much earlier in the drug discovery process but the throughput limitations of traditional methods precludes this. A major limitation that hampers acquisition of high-throughput kinetic data is the technical challenge in collecting substantially confluent datapoints for accurate parameter estimation from time-course analysis. Here we describe the use of Fluorescent Imaging Plate Reader (FLIPR), a CCD camera technology, as a potential high-throughput tool for generating biochemical kinetic data with smaller time-intervals. Subsequent to the design and optimization of the assay, we demonstrate the collection of highly confluent time-course data for various kinase protein targets with reasonable throughput to enable SKR-guided medicinal chemistry. We select kinase target 1 as a special case study with covalent inhibition and demonstrate methods for rapid and detailed analysis of the resultant kinetic data for parameter estimation . In conclusion, this approach has the potential to enable rapid kinetic studies to be carried out on 100's of compounds per week and drive project decisions with kinetic data at an early stage in drug discovery.</p>


2016 ◽  
Vol 37 (4) ◽  
pp. 194
Author(s):  
Sofia Ahsanuddin ◽  
Ebrahim Afshinnekoo ◽  
Christopher E. Mason

It is rare to say that one has lived through a revolution, but we are all living through one right now. High-throughput sequencing technologies have become cheaper and more cost-effective over the past decade, moving even faster than Moore’s Law for computer power (doubling every 18 months). Because sequencers are modern-day 'molecular microscopes', scientists believe that we are currently experiencing a scientific revolution similar to the one sparked by Antonie van Leeuwenhoek’s invention of the world’s first light microscope in the 17th century.


2020 ◽  
Author(s):  
Puneet Khurana ◽  
Lisa McWilliams ◽  
Jonathan Wingfield ◽  
Derek Barratt ◽  
Bharath Srinivasan

<p>Target engagement by small-molecules is necessary for producing a physiological outcome. In the past, a lot of emphasis was placed on understanding the thermodynamics of such interactions to guide structure-activity relationship. However, it is becoming clearer that understanding the kinetics of the interaction between a small molecule inhibitor and the biological target (structure kinetic relationship, SKR) is critical for selection of the optimum candidate drug molecule for clinical trial. However, the acquisition of kinetic data in high-throughput manner using traditional methods can be labor intensive, limiting the number of molecules that can be tested. As a result, in depth kinetic studies are often carried out only on a small number of compounds and, usually, at a later stage in the drug discovery process. Fundamentally, kinetic data should be used to drive key decisions much earlier in the drug discovery process but the throughput limitations of traditional methods precludes this. A major limitation that hampers acquisition of high-throughput kinetic data is the technical challenge in collecting substantially confluent datapoints for accurate parameter estimation from time-course analysis. Here we describe the use of Fluorescent Imaging Plate Reader (FLIPR), a CCD camera technology, as a potential high-throughput tool for generating biochemical kinetic data with smaller time-intervals. Subsequent to the design and optimization of the assay, we demonstrate the collection of highly confluent time-course data for various kinase protein targets with reasonable throughput to enable SKR-guided medicinal chemistry. We select kinase target 1 as a special case study with covalent inhibition and demonstrate methods for rapid and detailed analysis of the resultant kinetic data for parameter estimation . In conclusion, this approach has the potential to enable rapid kinetic studies to be carried out on 100's of compounds per week and drive project decisions with kinetic data at an early stage in drug discovery.</p>


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