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Lee Makowski

dblp:94/2352 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2004
0000-0003-0202-9264ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
multiple sequence alignment
0.012004
DIVAA: analysis of amino acid diversity in multiple aligned protein sequences · Bioinform. 2004
Bioinformatics and computational biology
protein sequence analysis
0.012004
DIVAA: analysis of amino acid diversity in multiple aligned protein sequences · Bioinform. 2004
Bioinformatics and computational biology › sequence analysis › sequence variation analysis
sequence diversity quantification
0.012004
DIVAA: analysis of amino acid diversity in multiple aligned protein sequences · Bioinform. 2004

Methods — techniques the papers use, named apart from their topics

statistical analysis · 0.0analytical expression · 0.0
YearPublicationVenuePosition
2004 DIVAA: analysis of amino acid diversity in multiple aligned protein sequences
abstract
MOTIVATION: Multiple alignments of proteins are an effective way of identifying conserved amino acids that provide clues to functional relationships among proteins. Quantitation of the abundances of amino acids found at each position in a sequence motif can provide a basis for understanding the structural and functional constraints at each point. Distribution of information across a motif has been used previously, but the non-intuitive nature of the analysis has limited its impact. RESULTS: Here, we introduce a quantitative measure of amino acid sequence diversity (DIVAA) that has a simple, intuitive meaning. Diversity, as a measure of sequence conservation or variation, is inextricably linked to the probability of selecting identical pairs from a distribution. We demonstrate its utility through the analysis of four populations: ATP-binding P-loops, hypervariable domains of kappa light chains, signal sequences, and the N- and C- termini of proteins. DIVAA provides a simple means to generate hypotheses concerning the contribution of individual residues to the functional and evolutionary relationships among proteins. AVAILABILITY: Access to DIVAA software is available at RELIC (http://relic.bio.anl.gov).
Diane J. Rodi, Suneeta Mandava, Lee Makowski
Bioinform.3
2003 Estimating the diversity of peptide populations from limited sequence data
abstract
MOTIVATION: Combinatorial libraries of peptides such as those displayed on the surface of a bacteriophage particle have become widely used tools for characterizing protein-protein and protein-small molecule interactions. The quality of a library frequently depends on its completeness, or diversity-the proportion of possible sequences actually present in the library. The diversity of these libraries is frequently quoted on the basis of phage titers that provide little information about their completeness. RESULTS: Here, an analytical expression for diversity is introduced and a method for estimating the diversity of a peptide library from the sequences of a limited number of the members of the library is demonstrated. The diversities of a number of computationally constructed and actual peptide libraries are estimated using this method.
Lee Makowski, Alexei Soares
Bioinform.1