Works matching IS 08873585 AND DT 2020 AND VI 88 AND IP 2
Results: 15
Phylogenetic spread of sequence data affects fitness of consensus enzymes: Insights from triosephosphate isomerase.
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- Proteins, 2020, v. 88, n. 2, p. 274, doi. 10.1002/prot.25799
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Comparative dynamics of tropomyosin in vertebrates and invertebrates.
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- Proteins, 2020, v. 88, n. 2, p. 265, doi. 10.1002/prot.25797
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Exploring alternative catalytic mechanisms of the Cas9 HNH domain.
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- Proteins, 2020, v. 88, n. 2, p. 260, doi. 10.1002/prot.25796
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Characterization of perdeuterated high‐potential iron‐sulfur protein with high‐resolution X‐ray crystallography.
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- Proteins, 2020, v. 88, n. 2, p. 251, doi. 10.1002/prot.25793
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Issue Information ‐ Forthcoming.
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- Proteins, 2020, v. 88, n. 2, p. 393, doi. 10.1002/prot.25713
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- Article
Molecular dynamics study of interactions between polymorphic actin filaments and gelsolin segment‐1.
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- Proteins, 2020, v. 88, n. 2, p. 385, doi. 10.1002/prot.25813
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Novel phosphorylation‐dependent regulation in an unstructured protein.
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- Proteins, 2020, v. 88, n. 2, p. 366, doi. 10.1002/prot.25812
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On predicting foldability of a protein from its sequence.
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- Proteins, 2020, v. 88, n. 2, p. 355, doi. 10.1002/prot.25811
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MD simulations reveal alternate conformations of the oxyanion hole in the Zika virus NS2B/NS3 protease.
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- Proteins, 2020, v. 88, n. 2, p. 345, doi. 10.1002/prot.25809
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Effect of hydrophobic and hydrogen bonding interactions on the potency of ß‐alanine analogs of G‐protein coupled glucagon receptor inhibitors.
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- Proteins, 2020, v. 88, n. 2, p. 327, doi. 10.1002/prot.25807
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The structural details of the interaction of single‐stranded DNA binding protein hSSB2 (NABP1/OBFC2A) with UV‐damaged DNA.
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- Proteins, 2020, v. 88, n. 2, p. 319, doi. 10.1002/prot.25806
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The characterization of pc‐polylines representing protein backbones.
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- Proteins, 2020, v. 88, n. 2, p. 307, doi. 10.1002/prot.25803
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Pre‐ and post‐docking sampling of conformational changes using ClustENM and HADDOCK for protein‐protein and protein‐DNA systems.
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- Proteins, 2020, v. 88, n. 2, p. 292, doi. 10.1002/prot.25802
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Boosting phosphorylation site prediction with sequence feature‐based machine learning.
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- Proteins, 2020, v. 88, n. 2, p. 284, doi. 10.1002/prot.25801
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Issue Information.
- Published in:
- Proteins, 2020, v. 88, n. 2, p. 249, doi. 10.1002/prot.25711
- Publication type:
- Article