Aashish Jain
Purdue University
13 Papers
Aashish Jain is an academic researcher from Purdue University. The author has contributed to research in topics: Computer science & Protein structure prediction. The author has an hindex of 5, co-authored 12 publications. Previous affiliations of Aashish Jain include Salesforce.com.
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Papers
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
Naihui Zhou,Yuxiang Jiang,Timothy Bergquist,Alexandra J. Lee,Balint Z. Kacsoh,Alex W. Crocker,Kimberley A. Lewis,George Georghiou,Huy N Nguyen,Nafiz Hamid,Larry Davis,Tunca Doğan,Tunca Doğan,Volkan Atalay,Ahmet Sureyya Rifaioglu,Alperen Dalkiran,Rengul Cetin Atalay,Chengxin Zhang,Rebecca L. Hurto,Peter L. Freddolino,Yang Zhang,Prajwal Bhat,Fran Supek,José M. Fernández,Branislava Gemovic,Vladimir Perovic,Radoslav Davidovic,Neven Sumonja,Nevena Veljkovic,Ehsaneddin Asgari,Mohammad R. K. Mofrad,Giuseppe Profiti,Giuseppe Profiti,Castrense Savojardo,Pier Luigi Martelli,Rita Casadio,Florian Boecker,Heiko Schoof,Indika Kahanda,Natalie Thurlby,Alice C. McHardy,Alexandre Renaux,Alexandre Renaux,Rabie Saidi,Julian Gough,Alex A. Freitas,Magdalena Antczak,Fabio Fabris,Mark N. Wass,Jie Hou,Jianlin Cheng,Zheng Wang,Alfonso E. Romero,Alberto Paccanaro,Haixuan Yang,Haixuan Yang,Tatyana Goldberg,Chenguang Zhao,Liisa Holm,Petri Törönen,Alan Medlar,Elaine Zosa,Itamar Borukhov,Ilya Novikov,Angela D. Wilkins,Olivier Lichtarge,Po-Han Chi,Wei-Cheng Tseng,Michal Linial,Peter W. Rose,Christophe Dessimoz,Christophe Dessimoz,Christophe Dessimoz,Vedrana Vidulin,Saso Dzeroski,Ian Sillitoe,Sayoni Das,Jonathan G. Lees,Jonathan G. Lees,David T. Jones,David T. Jones,Cen Wan,Cen Wan,Domenico Cozzetto,Domenico Cozzetto,Rui Fa,Rui Fa,Mateo Torres,Alex Warwick Vesztrocy,Alex Warwick Vesztrocy,Jose Manuel Rodriguez,Michael L. Tress,Marco Frasca,Marco Notaro,Giuliano Grossi,Alessandro Petrini,Matteo Re,Giorgio Valentini,Marco Mesiti,Marco Mesiti,Daniel B. Roche,Jonas Reeb,David W. Ritchie,Sabeur Aridhi,Seyed Ziaeddin Alborzi,Seyed Ziaeddin Alborzi,Marie-Dominique Devignes,Marie-Dominique Devignes,Da Chen Emily Koo,Richard Bonneau,Vladimir Gligorijević,Meet Barot,Hai Fang,Stefano Toppo,Enrico Lavezzo,Marco Falda,Michele Berselli,Silvio C. E. Tosatto,Marco Carraro,Damiano Piovesan,Hafeez Ur Rehman,Qizhong Mao,Qizhong Mao,Shanshan Zhang,Slobodan Vucetic,Gage S. Black,Dane Jo,Erica Suh,Jonathan B. Dayton,Dallas J. Larsen,Ashton Omdahl,Liam J. McGuffin,Danielle A Brackenridge,Patricia C. Babbitt,Jeffrey M. Yunes,Paolo Fontana,Feng Zhang,Shanfeng Zhu,Ronghui You,Zihan Zhang,Suyang Dai,Shuwei Yao,Weidong Tian,Weidong Tian,Renzhi Cao,Caleb Chandler,Miguel Amezola,Devon Johnson,Jia-Ming Chang,Wen-Hung Liao,Yi-Wei Liu,Stefano Pascarelli,Yotam Frank,Robert Hoehndorf,Maxat Kulmanov,Imane Boudellioua,Gianfranco Politano,Stefano Di Carlo,Alfredo Benso,Kai Hakala,Filip Ginter,Farrokh Mehryary,Suwisa Kaewphan,Suwisa Kaewphan,Jari Björne,Jari Björne,Hans Moen,Martti Tolvanen,Tapio Salakoski,Tapio Salakoski,Daisuke Kihara,Daisuke Kihara,Aashish Jain,Tomislav Šmuc,Adrian M. Altenhoff,Adrian M. Altenhoff,Asa Ben-Hur,Burkhard Rost,Steven E. Brenner,Christine A. Orengo,Constance J. Jeffery,Giovanni Bosco,Deborah A. Hogan,Maria Jesus Martin,Claire O'Donovan,Sean D. Mooney,Casey S. Greene,Predrag Radivojac,Iddo Friedberg +188 more
TL;DR: The third CAFA challenge, CAFA3, that featured an expanded analysis over the previous CAFA rounds, both in terms of volume of data analyzed and the types of analysis performed, concluded that while predictions of the molecular function and biological process annotations have slightly improved over time, those of the cellular component have not.
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
Naihui Zhou,Yuxiang Jiang,Timothy Bergquist,Alexandra J. Lee,Balint Z. Kacsoh,Alex W. Crocker,Kimberley A. Lewis,George Georghiou,Huy N Nguyen,Nafiz Hamid,Larry Davis,Tunca Doğan,Tunca Doğan,Volkan Atalay,Ahmet Sureyya Rifaioglu,Alperen Dalkiran,Rengul Cetin-Atalay,Chengxin Zhang,Rebecca L. Hurto,Peter L. Freddolino,Yang Zhang,Prajwal Bhat,Fran Supek,José M. Fernández,Branislava Gemovic,Vladimir Perovic,Radoslav Davidovic,Neven Sumonja,Nevena Veljkovic,Ehsaneddin Asgari,Mohammad R. K. Mofrad,Giuseppe Profiti,Giuseppe Profiti,Castrense Savojardo,Pier Luigi Martelli,Rita Casadio,Florian Boecker,Indika Kahanda,Natalie Thurlby,Alice C. McHardy,Alexandre Renaux,Alexandre Renaux,Rabie Saidi,Julian Gough,Alex A. Freitas,Magdalena Antczak,Fabio Fabris,Mark N. Wass,Jie Hou,Jianlin Cheng,Zheng Wang,Alfonso E. Romero,Alberto Paccanaro,Haixuan Yang,Tatyana Goldberg,Chenguang Zhao,Liisa Holm,Petri Törönen,Alan Medlar,Elaine Zosa,Itamar Borukhov,Ilya Novikov,Angela D. Wilkins,Olivier Lichtarge,Po-Han Chi,Wei-Cheng Tseng,Michal Linial,Peter W. Rose,Christophe Dessimoz,Christophe Dessimoz,Vedrana Vidulin,Saso Dzeroski,Ian Sillitoe,Sayoni Das,Jonathan G. Lees,Jonathan G. Lees,David T. Jones,David T. Jones,Cen Wan,Cen Wan,Domenico Cozzetto,Domenico Cozzetto,Rui Fa,Rui Fa,Mateo Torres,Alex Warwick Vesztrocy,Alex Warwick Vesztrocy,Jose Manuel Rodriguez,Michael L. Tress,Marco Frasca,Marco Notaro,Giuliano Grossi,Alessandro Petrini,Matteo Re,Giorgio Valentini,Marco Mesiti,Daniel B. Roche,Jonas Reeb,David W. Ritchie,Sabeur Aridhi,Seyed Ziaeddin Alborzi,Marie-Dominique Devignes,Da Chen Emily Koo,Richard Bonneau,Vladimir Gligorijević,Meet Barot,Hai Fang,Stefano Toppo,Enrico Lavezzo,Marco Falda,Michele Berselli,Silvio C. E. Tosatto,Marco Carraro,Damiano Piovesan,Hafeez Ur Rehman,Qizhong Mao,Qizhong Mao,Shanshan Zhang,Slobodan Vucetic,Gage S. Black,Dane Jo,Dallas J. Larsen,Ashton Omdahl,Luke W Sagers,Erica Suh,Jonathan B. Dayton,Liam J. McGuffin,Danielle A Brackenridge,Patricia C. Babbitt,Jeffrey M. Yunes,Paolo Fontana,Feng Zhang,Shanfeng Zhu,Ronghui You,Zihan Zhang,Suyang Dai,Shuwei Yao,Weidong Tian,Renzhi Cao,Caleb Chandler,Miguel Amezola,Devon Johnson,Jia-Ming Chang,Wen-Hung Liao,Yi-Wei Liu,Stefano Pascarelli,Yotam Frank,Robert Hoehndorf,Maxat Kulmanov,Imane Boudellioua,Gianfranco Politano,Stefano Di Carlo,Alfredo Benso,Kai Hakala,Filip Ginter,Farrokh Mehryary,Suwisa Kaewphan,Suwisa Kaewphan,Jari Björne,Jari Björne,Hans Moen,Martti Tolvanen,Tapio Salakoski,Tapio Salakoski,Daisuke Kihara,Daisuke Kihara,Aashish Jain,Tomislav Šmuc,Adrian M. Altenhoff,Asa Ben-Hur,Burkhard Rost,Steven E. Brenner,Christine A. Orengo,Constance J. Jeffery,Giovanni Bosco,Deborah A. Hogan,Maria Jesus Martin,Claire O'Donovan,Sean D. Mooney,Casey S. Greene,Predrag Radivojac,Iddo Friedberg +181 more
TL;DR: It is reported that the CAFA community now involves a broad range of participants with expertise in bioinformatics, biological experimentation, biocuration, and bioontologies, working together to improve functional annotation, computational function prediction, and the ability to manage big data in the era of large experimental screens.
Phylo-PFP: improved automated protein function prediction using phylogenetic distance of distantly related sequences.
Aashish Jain,Daisuke Kihara +1 more
TL;DR: Phylo‐PFP is a new sequence‐based protein function prediction method, which mines functional information from a broad range of similar sequences, including those with a low sequence similarity identified by a PSI‐BLAST search.
NNTox: Gene Ontology-Based Protein Toxicity Prediction Using Neural Network.
TL;DR: A neural network model, named NNTox, which uses predicted GO terms for a target protein to further predict the possibility of the protein being toxic and a multi-label model, which can predict the specific toxicity type of the query sequence, are developed.
Analyzing effect of quadruple multiple sequence alignments on deep learning based protein inter-residue distance prediction.
Aashish Jain,Genki Terashi,Yuki Kagaya,Sai Raghavendra Maddhuri Venkata Subramaniya,Charles Christoffer,Daisuke Kihara +5 more
TL;DR: AttentiveDist as mentioned in this paper uses different MSAs generated with different E-values in a single model to increase the co-evolutionary information provided to the model to determine the importance of each MSSA feature at the inter-residue level.