Indexed in Journament

Protein Engineering Design and Selection

Oxford University Press· EN

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45.0 / 100
Journament Score
Below Average
Ranked #673 of 29,301 scored journals (34,035 indexed)
38 Articles
Scores higher than 97.7% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

About This Journal

Short Name Protein Engineering Design and Selection
Abbreviated Name Protein Engineering Design and Selection

Quality Profile

4 of 12 dimensions measured
Engagement 30.6
Timeliness 80.0
Community Impact 9.3
Content Distribution 57.4
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

8 of the 12 dimensions could not be measured for this journal. They are left out entirely rather than plotted as zero, and with 4 dimensions measured there is not enough of a profile to draw as a shape.

Show the numbers
Dimension This journal Corpus average
Engagement 30.6 30.6
Accessibility — 23.3
Timeliness 80.0 3.0
Diversity — 25.9
Innovation — 24.1
Community Impact 9.3 6.7
Content Distribution 57.4 89.8
Content Quality — 55.1
Ethics & Transparency — 40.5
Editorial Standards — 33.0
Publication Regularity — 52.9
Geographic Reach — 30.4

Publications Per Year

Articles (38)

2001
Tobacco etch virus protease: mechanism of autolysis and rational design of stable mutants with wild-type catalytic proficiency
Rachel B. Kapust, József Tözsér, Jeffrey D. Fox, David E. Anderson, Scott Cherry, Terry D. Copeland, David S. Waugh
97 views DOI Abstract
1998
Protein structure alignment by incremental combinatorial extension (CE) of the optimal path
Ilya N. Shindyalov, Philip E. Bourne
86 views DOI Abstract
1999
Twilight zone of protein sequence alignments
Burkhard Rost
81 views DOI Abstract
2004
Feature-based prediction of non-classical and leaderless protein secretion
Jannick Dyrløv Bendtsen, Lars Juhl Jensen, Nikolaj Blom, Gunnar von Heijne, Søren Brunak
71 views DOI Abstract
1999
Crystal structure of human serum albumin at 2.5 Å resolution
Shigetoshi Sugio, Akiko Kashima, Shota Mochizuki, Masafumi Noda, Kaoru Kobayashi
68 views DOI Abstract
2026
A Tethered Yeast Surface Display System Facilitates Enriching Epitope-Specific Binding Interactions
Rojhae A. Panton, Jakob Lind, Amanda Richardson, Isabela Panozzo, Daniela Gómez García, Syed Muzaffar, Lawrence A. Stern
67 views DOI Abstract
2004
Analysis and prediction of leucine-rich nuclear export signals
Tanja LA COUR, Lars Kiemer, Anne Mølgaard, Ramneek Gupta, Karen Skriver, Søren Brunak
60 views DOI Abstract
1997
Prediction of transmembrane alpha-helices in prokaryotic membrane proteins: the dense alignment surface method
Miklós Cserző, Erik Jakob Wallin, István Simon, Gunnar von Heijne, Arne Elofsson
60 views DOI Abstract
2026
Prioritizing Stability-enhancing Mutations using the ESM Protein Language Model in conjunction with Physics-based MM/GBSA Predictions
Emily R. Rhodes, Guido Scarabelli, Jonathan Jou, Jacob Byerly, Kayla G. Sprenger, E.O. Oloo
59 views DOI Abstract
2000
Factors enhancing protein thermostability
Sandeep Kumar, C J Tsai, Ruth Nussinov
57 views DOI Abstract
2026
EvoSeq-ML: Advancing Data-Centric Machine Learning with Evolutionary-Informed Protein Sequence Representation and Generation
Mehrsa Mardikoraem, Nathaniel Pascual, Joelle N. Eaves, Shramana Chatterjee, Logan Garland, Patrick Finneran, Robert P. Hausinger, Daniel Woldring, Robert P Hausinger, Daniel Woldring
4 views DOI Abstract
2026
Engineering a Hyperstable Synthetic Miniprotein for B7-H3 Targeting
Hannah K Windsor, Nicholas C Ulen, Claudia Beaudry, Benjamin J. Hackel
15 views DOI Abstract
2026
Improved Calreticulin Nanobody by Framework Engineering
Logan Mavar, Mikhail Pavlenok, Avraneel Paul, Lucinda A. Hall, Benjamin M. Larimer, Michael Niederweis
18 views DOI Abstract
2026
Engineering and Kinetic Profiling of a Thrombin-Activable Prodrug Antibody Targeting P-Selectin
Mie M. Mortensen, Susanne Nedergaard Grell, Thomas Egebjerg, Che Yang, Nikolai Lorenzen, Peter Kjær Kristensen, Jais Rose Bjelke
26 views DOI Abstract
2026
Rapid selection of high-affinity DARPins using click display
Joshua D. Bryant, Yu Zeng, Monisha Yerram, Karuppiah Chockalingam, Michael Woolley, Raghav Sehgal, Vikas Chonira, Zhilei Chen
28 views DOI Abstract
2026
Targeted mutagenesis of a thermophilic mevalonate kinase for efficient catalysis at lower temperatures
Sylvia A. Sarnik, Jeffrey Law, Sam J. B. Mallinson, Hunter Harrington, Joel L. Kaar, Daniel K. Schwartz, Yannick J. Bomble
27 views DOI Abstract
2026
Towards Directed Evolution of Rare Earth Element Binding Peptides Using Genetically Encoded Sensitizing Amino Acids
Riley M. Bednar, Jason G. Marmorstein, Kathleen J. Stebe, E. James Petersson
35 views DOI Abstract
2026
Engineering isoform-selective miniprotein binders to the fetal form of the insulin receptor
Melissa A Walsh, Paul L. Blanchard, Xihong Zhang, Nathaniel T Cheung, Douglas Yee, Benjamin J. Hackel
37 views DOI Abstract
2026
SARS-CoV-2 Orf3a Protein Interaction Mapping Using Unnatural Amino Acid Incorporation
Eryn Lundrigan, Noreen Ahmed, John Paul Pezacki
42 views DOI Abstract
2026
The Dibasics of M13 Phage Display: Examining the Substrate Specificity of Escherichia coli Outer Membrane Proteases
Michael D. Scholle, Brian K. Kay
52 views DOI Abstract
Journament Score
45.0/100 · Below Average
Ranked #673 of 29,301 scored
(34,035 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

45.0/100

Tier: Below Average

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.6/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

Not yet measured

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

Not yet measured

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

Not yet measured

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

9.3/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

80.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

57.4/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.