Nawar Malhis
Molecular Biology · 2015–2020
A researcher in the Science corpus: 5 papers; trusts 32 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 86 citations into it; #2,446 of 17,773 by trust here, #9,136 by citations
- Materials Chemistry — 26 citations into it
- Computational Biology & Bioinformatics — 15 citations into it
- Genetics — 14 citations into it
- Spectroscopy — 13 citations into it
- Computational Theory and Mathematics — 7 citations into it
Whom Nawar Malhis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zsuzsanna Dosztányi
- Chun Fang
- David T. Jones
- Bálint Mészáros
- István Simon
- Christopher J. Oldfield
- S. Parasuraman
- James Y. Zou
- Fatemeh Miri Disfani
- Stephen F. Altschul
Who trusts Nawar Malhis overall
- Fanchi Meng
- Bálint Mészáros
- Zhenling Peng
- Lukasz Kurgan
- Vladimir N Uversky
- Gábor Erdös
- Márton Miskei
- Zsuzsanna Dosztányi
- Qian Xing
- Jörg Gsponer
Papers from Nawar Malhis's perspective
Ordered by how strongly the researchers Nawar Malhis trusts endorse each paper. Same corpus, a different order for every researcher.
- Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Intrinsically Disordered Proteins in Cellular Signaling and Regulation
- Characterization of molecular recognition features, MoRFs, and their binding partners.
- Prediction of Protein Binding Regions in Disordered Proteins
- Protein data bank
- MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins
- Intrinsically unstructured proteins. (TIBS -Trends in Biochemical Sciences. Regular ed)
- Intrinsically disordered protein.
- Structure and Function of Intrinsically Disordered Proteins
Their papers
- Computational identification of MoRFs in protein sequences (2015) — 78 citations
- Computational Identification of MoRFs in Protein Sequences Using Hierarchical Application of Bayes Rule (2015) — 52 citations
- MoRFchibi SYSTEM: software tools for the identification of MoRFs in protein sequences (2016) — 147 citations
- Critical assessment of protein intrinsic disorder prediction (2020) — 286 citations
- LIST-S2: taxonomy based sorting of deleterious missense mutations across species (2020) — 90 citations