biology

Gajendra Pal Singh Raghava

Gajendra Pal Singh Raghava is a biology topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Gajendra Pal Singh Raghava rather than just read about it. In short: Gajendra Pal Singh Raghava is an Indian bio-informatician and Professor at Indraprastha Institute of Information Technology. Personal Early years and education Raghava was born in village Nagla Karan, Bulandshahr district (UP), India in 1963.

Key takeaways

Gajendra Pal Singh Raghava belongs to biology; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Gajendra Pal Singh Raghava to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Gajendra Pal Singh Raghava from memory before moving on to harder problems.

Reference excerpt

Gajendra Pal Singh Raghava is an Indian bio-informatician and Professor at Indraprastha Institute of Information Technology.

Personal

Early years and education Raghava was born in village Nagla Karan, Bulandshahr district (UP), India in 1963. He completed his primary education from his native place Bulandshahr and post graduation from Meerut, UP in 1984. After completing his MTech from Indian Institute of Technology, New Delhi, he joined Institute of Microbial Technology as a computer scientist. There he continued to work on various projects and became the head of Bioinformatics Centre in 1994. In 1996 he received a doctorate in bioinformatics from Institute of Microbial Technology and Panjab University, Chandigarh.

Career and higher studies Raghava joined the Institute of Microbial Technology, Chandigarh in 1986 as a computer scientist and developer. He is also coordinator of the distributed information centre supported by DBT under the BTISNET programme, where his primary duty is to build and maintain infrastructure required for protein modelling and engineering. He worked as a postdoctoral fellow at Oxford university as well as at the European Bioinformatics Institute (EBI) at Cambridge for two years (1996–98). During this period he learned and developed a number of web servers for application in computational biology, particularly in protein modelling.

Achievements and awards

Raghava received the Young Leader Award in Science & Technology, Lakshmipat Singhania – Indian Institute of Management Lucknow National Leadership awards 2011 He was listed as one of eight highly cited Indians scientists by Thomson Reuters in 2014. He was awarded NASI-Reliance Industries Platinum Jubilee Awards, 2009 in Biological Sciences Thomson Reuters presented him Research Excellence ~ India Research Front Awards 2009. He received the Shanti Swarup Bhatnagar Prize for Science and Technology for 2008

Scientific recognitions He was elected as Fellow of National Academy of Sciences by for his excellent contribution in the field of Bioinformatics. He was elected Fellow of the Indian Academy of Sciences, Banglore for his excellent contribution in the field of Bioinformatics. Raghava has H-index 100 and I10-index more than 296 in as per his Google scholar profile. He is member of editorial board of number of scientific journals.

Research interests Raghava developed a method for calculating concentration of antibodies and antigens from ELISA data, and he a prediction method for protein secondary structure prediction. In 1999 he established his research group at IMTECH with emphasis on protein structure prediction and genome annotation. In 2001, his group also focused on "Computer aided vaccine design" with emphasis on subunit vaccine design. Since 2006, his group is trying to integrate bioinformatics, chemoinformatics, pharmaco-informatics and clinical informatics in order to develop a single platform for designing drugs in silico.

Web services and software Raghava is an adherent of public domain software or open source software, and his group both uses and develops free software for academic use. Recently his group have initiated a web portal Computational Resource for Drug Discovery (CRDD) under Open Source Drug Discovery.

Works OSDDlinux A customized linux operating system for drug discovery GlycoEP : In silico Platform for Prediction of N-, O- and C-Glycosites in Eukaryotic Protein Sequences. PLoS ONE 8(6): e67008 Lbtope: Improved Method for Linear B-Cell Epitope Prediction Using Antigen's Primary Sequence. PLoS ONE 8(5): e62216 Open Source Software and Web Services for Designing Therapeutic Molecule Freeware in Science A google plus community on Freeware in the field of Science. HIVcoPred: A server for prediction of HIV coreceptor usage (CCR5). TumorHPD: Computational approach for designing tumor homing peptides. Scientific Reports 3: 1607 CellPPD: In silico approaches for designing highly effective cell penetrating peptides. Journal of Translational Medicine 2013, 11:74 . MDRIpred : A web server for predicting inhibitors against drug tolerant M. Tuberculosis, published in Chemistry Central Journal CancerDR: Cancer Drug Resistance Database. Scientific Reports 3, 1445 CSIR-Informatics Portal: Web Servers and software developed by CSIR, INDIA ToxinPred: In Silico Approach for Predicting Toxicity of Peptides and Proteins. [1]

References

External links Official website Google Scholar Profile Scopus ResearchGate Profile

Illustrations

Gajendra Pal Singh Raghava: G P S Raghava receiving National Bioscience Award from Science and Technology minister Shri Kapil Sibal — G P S Raghava receiving National Bioscience Award from Science and Technology minister Shri Kapil Sibal

Worked examples

Example 1 — a first encounter with Gajendra Pal Singh Raghava

Start with the simplest possible case. Write down what Gajendra Pal Singh Raghava claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Gajendra Pal Singh Raghava before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Gajendra Pal Singh Raghava ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Gajendra Pal Singh Raghava

In research: Gajendra Pal Singh Raghava appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Gajendra Pal Singh Raghava in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Gajendra Pal Singh Raghava is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1963 births, 20th-century Indian biologists, Fellows of the Indian Academy of Sciences, so understanding it makes those chapters shorter.
In everyday life: Look for Gajendra Pal Singh Raghava outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Gajendra Pal Singh Raghava in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Gajendra Pal Singh Raghava means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
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Frequently asked questions

What is Gajendra Pal Singh Raghava in simple terms?

Gajendra Pal Singh Raghava is an Indian bio-informatician and Professor at Indraprastha Institute of Information Technology. Personal Early years and education Raghava was born in village Nagla Karan, Bulandshahr district (UP), India in 1963.

Why does Gajendra Pal Singh Raghava matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Gajendra Pal Singh Raghava?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Gajendra Pal Singh Raghava.