Recent Developments in Structural Genomics: Uncovering Cellular Functions

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2024 | Volume :02 | Issue : 02 | Page : –
By
vector

Aditi Arvi,

  1. Student, Faculty of Biotechnology, University of Allahabad, Uttar Pradesh, India

Abstract document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_128993’);});Edit Abstract & Keyword

Structural genomics has become a groundbreaking field for understanding cellular functions by revealing the three-dimensional (3D) structures of proteins and other biomolecules. This field combines advanced methods like X-ray crystallography, nuclear magnetic resonance (NMR) spectroscopy, cryo-electron microscopy (cryo-EM), and computational modeling to explore the molecular structure and behavior of cellular components. Recent advances have significantly accelerated the pace of structure determination, bolstered by high-throughput methods and artificial intelligence tools like AlphaFold. These developments have not only expanded structural databases but have also provided deep insights into the relationship between protein structure and function, advancing our understanding of biological processes at the molecular level.
One of the pivotal outcomes of structural genomics is its application in elucidating the mechanisms of disease-related proteins, offering critical insights for therapeutic development. Structural studies of membrane proteins, enzyme complexes, and transcription factors have revealed novel binding sites, guiding the rational design of drugs and inhibitors. Furthermore, the integration of structural data with omics technologies has paved the way for systems biology approaches, enabling comprehensive insights into cellular networks and pathways.
This review highlights the recent breakthroughs in structural genomics, focusing on innovative methods, computational approaches, and key discoveries that have enhanced our understanding of cell function. By discussing the current challenges and future directions, it underscores the potential of structural genomics in addressing fundamental biological questions and advancing precision medicine. This field’s integration with rapidly evolving computational and experimental technologies promises to unlock further insights into the complex architecture of life.

Keywords: Structural genomics, 3D structures, proteins, X-ray crystallography, cryo-EM, computational modeling.

[This article belongs to International Journal of Cell Biology and Cellular Functions (ijcbcf)]

How to cite this article:
Aditi Arvi. Recent Developments in Structural Genomics: Uncovering Cellular Functions. International Journal of Cell Biology and Cellular Functions. 2024; 02(02):-.
How to cite this URL:
Aditi Arvi. Recent Developments in Structural Genomics: Uncovering Cellular Functions. International Journal of Cell Biology and Cellular Functions. 2024; 02(02):-. Available from: https://journals.stmjournals.com/ijcbcf/article=2024/view=0

Full Text PDF

References
document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_128993’);});Edit

1. Zhang C, Kim SH. Overview of structural genomics: from structure to function. Curr Opin Chem Biol. 2003 Feb;7(1):28-32. doi: 10.1016/s1367-5931(02)00015-7.
2. Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Ronneberger O, Tunyasuvunakool K, Bates R, Žídek A, Potapenko A, Bridgland A, Meyer C, Kohl SAA, Ballard AJ, Cowie A, Romera-Paredes B, Nikolov S, Jain R, Adler J, Back T, Petersen S, Reiman D, Clancy E, Zielinski M, Steinegger M, Pacholska M, Berghammer T, Bodenstein S, Silver D, Vinyals O, Senior AW, Kavukcuoglu K, Kohli P, Hassabis D. Highly accurate protein structure prediction with AlphaFold. Nature
3. Dillard RS, Hampton CM, Strauss JD, Ke Z, Altomara D, Guerrero-Ferreira RC, Kiss G, Wright ER. Biological Applications at the Cutting Edge of Cryo-Electron Microscopy. Microsc Microanal. 2018 Aug;24(4):406-419. doi: 10.1017/S1431927618012382.
4. Vinothkumar KR, Henderson R. Structures of membrane proteins. Q Rev Biophys. 2010 Feb;43(1):65-158. doi: 10.1017/S0033583510000041
5. Kuhlman B, Bradley P. Advances in protein structure prediction and design. Nat Rev Mol Cell Biol. 2019 Nov;20(11):681-697. doi: 10.1038/s41580-019-0163-x. Epub 2019 Aug 15.
6. Liddington RC. Structural basis of protein-protein interactions. Methods Mol Biol. 2015; 1278:3-22. doi: 10.1007/978-1-4939-2425-7_1.
7. Roberts G. The role of protein dynamics in allosteric effects-introduction. Biophys Rev. 2015 Jun;7(2):161-163. doi: 10.1007/s12551-015-0174-6. Epub 2015 May 9.
8. Sali A, Blundell TL. Comparative protein modelling by satisfaction of spatial restraints. J Mol Biol. 1993 Dec 5;234(3):779-815. doi: 10.10 06/jmbi.1993.1626..
9. Teichmann SA, Chothia C, Gerstein M. Advances in structural genomics. Curr Opin Struct Biol. 1999 Jun;9(3):390-9. doi: 10.1016/S0959-440X(99)80053-0.
10. Forli S, Huey R, Pique ME, Sanner MF, Goodsell DS, Olson AJ. Computational protein-ligand docking and virtual drug screening with the AutoDock suite. Nat Protoc. 2016 May;11(5):905-19. doi: 10.1038/nprot.2016.051.
11. Forouhar F, Kuzin A, Seetharaman J, Lee I, Zhou W, Abashidze M, Chen Y, Yong W, Janjua H, Fang Y, Wang D, Cunningham K, Xiao R, Acton TB, Pichersky E, Klessig DF, Porter CW, Montelione GT, Tong L. Functional insights from structural genomics. J Struct Funct Genomics. 2007 Sep;8(2-3):37-44. doi: 10.1007/s10969-007-9018-3.
12. Smyth MS, Martin JH. x ray crystallography. Mol Pathol. 2000 Feb;53(1):8-14. doi: 10.1136/mp.53.1.8.
13. Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, Shindyalov IN, Bourne PE. The Protein Data Bank. Nucleic Acids Res. 2000 Jan 1;28(1):235-42. doi: 10.1093/nar/28.1.235.
14. Zhu KF, Yuan C, Du YM, Sun KL, Zhang XK, Vogel H, Jia XD, Gao YZ, Zhang QF, Wang DP, Zhang HW. Applications and prospects of cryo-EM in drug discovery. Mil Med Res. 2023 Mar 6;10(1):10. doi: 10.1186/s40779-023-00446-y.
15. Dobson CM. The structural basis of protein folding and its links with human disease. Philos Trans R Soc Lond B Biol Sci. 2001 Feb 28;356(1406):133-45. doi: 10.1098/rstb.2000.0758.
16. Moore JB, Weeks ME. Proteomics and systems biology: current and future applications in the nutritional sciences. Adv Nutr. 2011 Jul;2(4):355-64. doi: 10.3945/an.111.000554.
17. Gomes PSFC, Gomes DEB, Bernardi RC. Protein structure prediction in the era of AI: Challenges and limitations when applying to in silico force spectroscopy. Front Bioinform. 2022 Oct 7;2:983306. doi: 10.3389/fbinf.2022.983306.
18. Szymański P, Markowicz M, Mikiciuk-Olasik E. Adaptation of high-throughput screening in drug discovery-toxicological screening tests. Int J Mol Sci. 2012;13(1):427-52. doi: 10.3390/ijms13010427.


Regular Issue Subscription Review Article
Volume 02
Issue 02
Received 03/11/2024
Accepted 05/12/2024
Published 26/12/2024