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20072017
most citedAccurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model

1k citations · 1.2k across the 13 of their papers we have counts for

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Showing q-bio.QMShow all

6 papers · 1 filter

q-bio.QM2015

Predicting diverse M-best protein contact maps

Siqi Sun, Jianzhu Ma, Sheng Wang +1

Protein contacts contain important information for protein structure and functional study, but contact prediction from sequence information remains very challenging. Recently evolu…

q-bio.QM2014★ 101 cited

MRFalign: Protein Homology Detection through Alignment of Markov Random Fields

Jianzhu Ma, Sheng Wang, Zhiyong Wang +1

Sequence-based protein homology detection has been extensively studied and so far the most sensitive method is based upon comparison of protein sequence profiles, which are derived…

q-bio.QM2013★ 1 cited

Protein Contact Prediction by Integrating Joint Evolutionary Coupling Analysis and Supervised Learning

Jianzhu Ma, Sheng Wang, Zhiyong Wang +1

Protein contacts contain important information for protein structure and functional study, but contact prediction from sequence remains very challenging. Both evolutionary coupling…

q-bio.QM2010★ 1 cited

Hydropathy Conformational Letter and its Substitution Matrix HP-CLESUM: an Application to Protein Structural Alignment

Sheng Wang

Motivation: Protein sequence world is discrete as 20 amino acids (AA) while its structure world is continuous, though can be discretized into structural alphabets (SA). In order to…

q-bio.QM2009★ 3 cited

CLeFAPS: Fast Flexible Alignment of Protein Structures Based on Conformational Letters

Sheng Wang

CLeFAPS, a fast and flexible pairwise structural alignment algorithm based on a rigid-body framework, namely CLePAPS, is proposed. Instead of allowing twists (or bends), the flexib…

q-bio.QM2007

CLePAPS: Fast Pair Alignment of Protein Structures Based on Conformational Letters

Sheng Wang, Wei-Mou Zheng

Fast, efficient and reliable algorithms for pairwise alignment of protein structures are in ever increasing demand for analyzing the rapidly growing data of protein structures. CLe…