A large-scale evaluation of computational protein function prediction P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ... Nature methods 10 (3), 221-227 |
Identity and function of a large gene network underlying mutagenic repair of DNA breaks AAM Al Mamun, MJ Lombardo, C Shee, AM Lisewski, C Gonzalez, D Lin, ... Science 338 (6112), 1344-1348 |
Automated hypothesis generation based on mining scientific literature S Spangler, AD Wilkins, BJ Bachman, M Nagarajan, T Dayaram, P Haas, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge ... |
Supergenomic network compression and the discovery of EXP1 as a glutathione transferase inhibited by artesunate AM Lisewski, JP Quiros, CL Ng, AK Adikesavan, K Miura, N Putluri, ... Cell 158 (4), 916-928 |
Prediction of enzyme function based on 3D templates of evolutionarily important amino acids DM Kristensen, RM Ward, AM Lisewski, S Erdin, BY Chen, VY Fofanov, ... BMC bioinformatics 9, 1-19 |
Graph sharpening plus graph integration: a synergy that improves protein functional classification H Shin, AM Lisewski, O Lichtarge Bioinformatics 23 (23), 3217-3224 |
Constraints on the delayed transition to detonation in Type Ia supernovae AM Lisewski, W Hillebrandt, SE Woosley The Astrophysical Journal 538 (2), 831 |
Protein function prediction: towards integration of similarity metrics S Erdin, AM Lisewski, O Lichtarge Current opinion in structural biology 21 (2), 180-188 |
The MASH pipeline for protein function prediction and an algorithm for the geometric refinement of 3D motifs BY Chen, VY Fofanov, DH Bryant, BD Dodson, DM Kristensen, ... Journal of Computational Biology 14 (6), 791-816 |
Rapid detection of similarity in protein structure and function through contact metric distances AM Lisewski, O Lichtarge Nucleic Acids Research 34 (22), e152-e152 |
Distributed burning in Type Ia supernovae: A statistical approach AM Lisewski, W Hillebrandt, SE Woosley, JC Niemeyer, AR Kerstein The Astrophysical Journal 537 (1), 405 |
Predicting future scientific discoveries based on a networked analysis of the past literature M Nagarajan, AD Wilkins, BJ Bachman, IB Novikov, S Bao, PJ Haas, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge … |
Recurrent use of evolutionary importance for functional annotation of proteins based on local structural similarity DM Kristensen, BY Chen, VY Fofanov, RM Ward, AM Lisewski, M Kimmel, ... Protein Science 15 (6), 1530-1536 |
Graph sharpening H Shin, NJ Hill, AM Lisewski, JS Park Expert Systems with Applications 37 (12), 7870-7879 |
De-orphaning the structural proteome through reciprocal comparison of evolutionarily important structural features RM Ward, S Erdin, TA Tran, DM Kristensen, AM Lisewski, O Lichtarge PLoS One 3 (5), e2136 |
Geometric sieving: Automated distributed optimization of 3D motifs for protein function prediction BY Chen, VY Fofanov, DH Bryant, BD Dodson, DM Kristensen, ... Research in Computational Molecular Biology: 10th Annual International … |
Association between influenza vaccination rates and SARS-CoV-2 outbreak infection rates in OECD countries AM Lisewski SSRN 3558270 |
Accurate protein structure annotation through competitive diffusion of enzymatic functions over a network of local evolutionary similarities E Venner, AM Lisewski, S Erdin, RM Ward, SR Amin, O Lichtarge PloS one 5 (12), e14286 |
Untangling complex networks: risk minimization in financial markets through accessible spin glass ground states AM Lisewski, O Lichtarge Physica A: Statistical Mechanics and its Applications 389 (16), 3250-3253 |
The concept of strong and weak virtual reality AM Lisewski Minds and machines 16, 201-219 |
