Sandhya P Tiwari
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Explore the profile of Sandhya P Tiwari including associated specialties, affiliations and a list of published articles.
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9
Citations
161
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Recent Articles
1.
Dasgupta B, Tiwari S
Biophys Rev
. 2023 Jan;
14(6):1379-1392.
PMID: 36659985
The binding of many proteins to their protein partners is tightly regulated via control of their relative intrinsic dynamics during the binding process, a phenomenon which can in turn be...
2.
Tiwari S, Tama F, Miyashita O
J Chem Inf Model
. 2021 Aug;
61(8):4108-4119.
PMID: 34357759
X-ray free-electron laser (XFEL) scattering promises to probe single biomolecular complexes without crystallization, enabling the study of biomolecular structures under near-physiological conditions at room temperature. However, such structural determination of...
3.
Tiwari S, Chhabra S, Tama F, Miyashita O
J Chem Inf Model
. 2020 Feb;
60(5):2570-2580.
PMID: 32003995
Cryo-electron microscopy (cryo-EM) single-particle analysis has come a long way in achieving atomic-level resolution when imaging biomolecules. To obtain the best possible three-dimensional (3D) structure in cryo-EM, many parameters have...
4.
Tiwari S, Tama F, Miyashita O
BMC Bioinformatics
. 2018 Sep;
19(1):320.
PMID: 30208849
Background: Advancements in biophysical experimental techniques have pushed the limits in terms of the types of phenomena that can be characterized, the amount of data that can be produced and...
5.
Tiwari S, Reuter N
Curr Opin Struct Biol
. 2017 Dec;
50:75-81.
PMID: 29287233
The intrinsic dynamics of proteins has been suggested to be the most conserved compared to its sequence or structure. As such, the contributing factors to the conservation of dynamics have...
6.
Tiwari S, Reuter N
PLoS Comput Biol
. 2016 Mar;
12(3):e1004834.
PMID: 27015412
The conservation of the intrinsic dynamics of proteins emerges as we attempt to understand the relationship between sequence, structure and functional conservation. We characterise the conservation of such dynamics in...
7.
Tiwari S, Fuglebakk E, Hollup S, Skjaerven L, Cragnolini T, Grindhaug S, et al.
BMC Bioinformatics
. 2014 Dec;
15:427.
PMID: 25547242
Background: Normal mode analysis (NMA) using elastic network models is a reliable and cost-effective computational method to characterise protein flexibility and by extension, their dynamics. Further insight into the dynamics-function...
8.
Perica T, Kondo Y, Tiwari S, McLaughlin S, Kemplen K, Zhang X, et al.
Science
. 2014 Dec;
346(6216):1254346.
PMID: 25525255
Evolution and design of protein complexes are almost always viewed through the lens of amino acid mutations at protein interfaces. We showed previously that residues not involved in the physical...
9.
Fuglebakk E, Tiwari S, Reuter N
Biochim Biophys Acta
. 2014 Oct;
1850(5):911-922.
PMID: 25267310
Background: Elastic network models (ENMs) are based on the simple idea that a protein can be described as a set of particles connected by springs, which can then be used...